id	sid	tid	token	lemma	pos
american_scientific_journal-5938	1	1	181	181	NUM
american_scientific_journal-5938	1	2	american	american	ADJ
american_scientific_journal-5938	1	3	scientific	scientific	ADJ
american_scientific_journal-5938	1	4	research	research	NOUN
american_scientific_journal-5938	1	5	journal	journal	NOUN
american_scientific_journal-5938	1	6	for	for	ADP
american_scientific_journal-5938	1	7	engineering	engineering	NOUN
american_scientific_journal-5938	1	8	,	,	PUNCT
american_scientific_journal-5938	1	9	technology	technology	NOUN
american_scientific_journal-5938	1	10	,	,	PUNCT
american_scientific_journal-5938	1	11	and	and	CCONJ
american_scientific_journal-5938	1	12	sciences	science	NOUN
american_scientific_journal-5938	1	13	(	(	PUNCT
american_scientific_journal-5938	1	14	asrjets	asrjet	NOUN
american_scientific_journal-5938	1	15	)	)	PUNCT
american_scientific_journal-5938	1	16	issn	issn	PROPN
american_scientific_journal-5938	1	17	(	(	PUNCT
american_scientific_journal-5938	1	18	print	print	NOUN
american_scientific_journal-5938	1	19	)	)	PUNCT
american_scientific_journal-5938	1	20	2313	2313	NUM
american_scientific_journal-5938	1	21	-	-	SYM
american_scientific_journal-5938	1	22	4410	4410	NUM
american_scientific_journal-5938	1	23	,	,	PUNCT
american_scientific_journal-5938	1	24	issn	issn	PROPN
american_scientific_journal-5938	1	25	(	(	PUNCT
american_scientific_journal-5938	1	26	online	online	ADJ
american_scientific_journal-5938	1	27	)	)	PUNCT
american_scientific_journal-5938	1	28	2313	2313	NUM
american_scientific_journal-5938	1	29	-	-	SYM
american_scientific_journal-5938	1	30	4402	4402	NUM
american_scientific_journal-5938	1	31	©	©	PROPN
american_scientific_journal-5938	1	32	global	global	ADJ
american_scientific_journal-5938	1	33	society	society	NOUN
american_scientific_journal-5938	1	34	of	of	ADP
american_scientific_journal-5938	1	35	scientific	scientific	ADJ
american_scientific_journal-5938	1	36	research	research	NOUN
american_scientific_journal-5938	1	37	and	and	CCONJ
american_scientific_journal-5938	1	38	researchers	researcher	NOUN
american_scientific_journal-5938	1	39	http://asrjetsjournal.org/	http://asrjetsjournal.org/	ADJ
american_scientific_journal-5938	1	40	binary	binary	ADJ
american_scientific_journal-5938	1	41	image	image	NOUN
american_scientific_journal-5938	1	42	classification	classification	NOUN
american_scientific_journal-5938	1	43	through	through	ADP
american_scientific_journal-5938	1	44	an	an	DET
american_scientific_journal-5938	1	45	optimal	optimal	ADJ
american_scientific_journal-5938	1	46	topology	topology	NOUN
american_scientific_journal-5938	1	47	for	for	ADP
american_scientific_journal-5938	1	48	convolutional	convolutional	ADJ
american_scientific_journal-5938	1	49	neural	neural	ADJ
american_scientific_journal-5938	1	50	networks	network	NOUN
american_scientific_journal-5938	1	51	arman	arman	PROPN
american_scientific_journal-5938	1	52	sarraf	sarraf	PROPN
american_scientific_journal-5938	1	53	*	*	PROPN
american_scientific_journal-5938	1	54	department	department	PROPN
american_scientific_journal-5938	1	55	of	of	ADP
american_scientific_journal-5938	1	56	electrical	electrical	ADJ
american_scientific_journal-5938	1	57	and	and	CCONJ
american_scientific_journal-5938	1	58	computer	computer	NOUN
american_scientific_journal-5938	1	59	engineering	engineering	NOUN
american_scientific_journal-5938	1	60	islamic	islamic	PROPN
american_scientific_journal-5938	1	61	azad	azad	PROPN
american_scientific_journal-5938	1	62	university	university	PROPN
american_scientific_journal-5938	1	63	north	north	PROPN
american_scientific_journal-5938	1	64	tehran	tehran	PROPN
american_scientific_journal-5938	1	65	branch	branch	NOUN
american_scientific_journal-5938	1	66	email	email	NOUN
american_scientific_journal-5938	1	67	:	:	PUNCT
american_scientific_journal-5938	1	68	armanhs13@gmail.com	armanhs13@gmail.com	X
american_scientific_journal-5938	1	69	abstract	abstract	ADJ
american_scientific_journal-5938	1	70	deep	deep	ADJ
american_scientific_journal-5938	1	71	learning	learning	NOUN
american_scientific_journal-5938	1	72	applications	application	NOUN
american_scientific_journal-5938	1	73	in	in	ADP
american_scientific_journal-5938	1	74	computer	computer	NOUN
american_scientific_journal-5938	1	75	vision	vision	NOUN
american_scientific_journal-5938	1	76	have	have	AUX
american_scientific_journal-5938	1	77	expanded	expand	VERB
american_scientific_journal-5938	1	78	over	over	ADP
american_scientific_journal-5938	1	79	the	the	DET
american_scientific_journal-5938	1	80	past	past	ADJ
american_scientific_journal-5938	1	81	years	year	NOUN
american_scientific_journal-5938	1	82	.	.	PUNCT
american_scientific_journal-5938	2	1	image	image	NOUN
american_scientific_journal-5938	2	2	classification	classification	NOUN
american_scientific_journal-5938	2	3	,	,	PUNCT
american_scientific_journal-5938	2	4	which	which	PRON
american_scientific_journal-5938	2	5	is	be	AUX
american_scientific_journal-5938	2	6	the	the	DET
american_scientific_journal-5938	2	7	fundamental	fundamental	ADJ
american_scientific_journal-5938	2	8	of	of	ADP
american_scientific_journal-5938	2	9	most	most	ADJ
american_scientific_journal-5938	2	10	algorithms	algorithm	NOUN
american_scientific_journal-5938	2	11	in	in	ADP
american_scientific_journal-5938	2	12	the	the	DET
american_scientific_journal-5938	2	13	field	field	NOUN
american_scientific_journal-5938	2	14	,	,	PUNCT
american_scientific_journal-5938	2	15	has	have	AUX
american_scientific_journal-5938	2	16	been	be	AUX
american_scientific_journal-5938	2	17	of	of	ADP
american_scientific_journal-5938	2	18	interest	interest	NOUN
american_scientific_journal-5938	2	19	to	to	ADP
american_scientific_journal-5938	2	20	many	many	ADJ
american_scientific_journal-5938	2	21	researchers	researcher	NOUN
american_scientific_journal-5938	2	22	.	.	PUNCT
american_scientific_journal-5938	3	1	advances	advance	NOUN
american_scientific_journal-5938	3	2	in	in	ADP
american_scientific_journal-5938	3	3	hierarchical	hierarchical	ADJ
american_scientific_journal-5938	3	4	feature	feature	NOUN
american_scientific_journal-5938	3	5	extractions	extraction	NOUN
american_scientific_journal-5938	3	6	using	use	VERB
american_scientific_journal-5938	3	7	convolutional	convolutional	ADJ
american_scientific_journal-5938	3	8	neural	neural	ADJ
american_scientific_journal-5938	3	9	networks	network	NOUN
american_scientific_journal-5938	3	10	as	as	ADP
american_scientific_journal-5938	3	11	one	one	NUM
american_scientific_journal-5938	3	12	of	of	ADP
american_scientific_journal-5938	3	13	the	the	DET
american_scientific_journal-5938	3	14	deep	deep	ADJ
american_scientific_journal-5938	3	15	learning	learning	NOUN
american_scientific_journal-5938	3	16	architectures	architecture	NOUN
american_scientific_journal-5938	3	17	have	have	AUX
american_scientific_journal-5938	3	18	enabled	enable	VERB
american_scientific_journal-5938	3	19	experts	expert	NOUN
american_scientific_journal-5938	3	20	to	to	PART
american_scientific_journal-5938	3	21	improve	improve	VERB
american_scientific_journal-5938	3	22	the	the	DET
american_scientific_journal-5938	3	23	performance	performance	NOUN
american_scientific_journal-5938	3	24	of	of	ADP
american_scientific_journal-5938	3	25	classification	classification	NOUN
american_scientific_journal-5938	3	26	significantly	significantly	ADV
american_scientific_journal-5938	3	27	.	.	PUNCT
american_scientific_journal-5938	4	1	in	in	ADP
american_scientific_journal-5938	4	2	this	this	DET
american_scientific_journal-5938	4	3	work	work	NOUN
american_scientific_journal-5938	4	4	,	,	PUNCT
american_scientific_journal-5938	4	5	an	an	DET
american_scientific_journal-5938	4	6	optimal	optimal	ADJ
american_scientific_journal-5938	4	7	binary	binary	ADJ
american_scientific_journal-5938	4	8	classifier	classifier	NOUN
american_scientific_journal-5938	4	9	to	to	PART
american_scientific_journal-5938	4	10	distinguish	distinguish	VERB
american_scientific_journal-5938	4	11	cat	cat	NOUN
american_scientific_journal-5938	4	12	and	and	CCONJ
american_scientific_journal-5938	4	13	dog	dog	NOUN
american_scientific_journal-5938	4	14	images	image	NOUN
american_scientific_journal-5938	4	15	was	be	AUX
american_scientific_journal-5938	4	16	explored	explore	VERB
american_scientific_journal-5938	4	17	where	where	SCONJ
american_scientific_journal-5938	4	18	various	various	ADJ
american_scientific_journal-5938	4	19	architectures	architecture	NOUN
american_scientific_journal-5938	4	20	and	and	CCONJ
american_scientific_journal-5938	4	21	parameters	parameter	NOUN
american_scientific_journal-5938	4	22	were	be	AUX
american_scientific_journal-5938	4	23	employed	employ	VERB
american_scientific_journal-5938	4	24	to	to	PART
american_scientific_journal-5938	4	25	achieve	achieve	VERB
american_scientific_journal-5938	4	26	the	the	DET
american_scientific_journal-5938	4	27	best	good	ADJ
american_scientific_journal-5938	4	28	results	result	NOUN
american_scientific_journal-5938	4	29	.	.	PUNCT
american_scientific_journal-5938	5	1	to	to	PART
american_scientific_journal-5938	5	2	design	design	VERB
american_scientific_journal-5938	5	3	our	our	PRON
american_scientific_journal-5938	5	4	experiment	experiment	NOUN
american_scientific_journal-5938	5	5	,	,	PUNCT
american_scientific_journal-5938	5	6	we	we	PRON
american_scientific_journal-5938	5	7	considered	consider	VERB
american_scientific_journal-5938	5	8	the	the	DET
american_scientific_journal-5938	5	9	architectures	architecture	NOUN
american_scientific_journal-5938	5	10	with	with	ADP
american_scientific_journal-5938	5	11	two	two	NUM
american_scientific_journal-5938	5	12	and	and	CCONJ
american_scientific_journal-5938	5	13	three	three	NUM
american_scientific_journal-5938	5	14	convolutional	convolutional	ADJ
american_scientific_journal-5938	5	15	layers	layer	NOUN
american_scientific_journal-5938	5	16	using	use	VERB
american_scientific_journal-5938	5	17	two	two	NUM
american_scientific_journal-5938	5	18	input	input	NOUN
american_scientific_journal-5938	5	19	image	image	NOUN
american_scientific_journal-5938	5	20	size	size	NOUN
american_scientific_journal-5938	5	21	when	when	SCONJ
american_scientific_journal-5938	5	22	models	model	NOUN
american_scientific_journal-5938	5	23	were	be	AUX
american_scientific_journal-5938	5	24	trained	train	VERB
american_scientific_journal-5938	5	25	with	with	ADP
american_scientific_journal-5938	5	26	and	and	CCONJ
american_scientific_journal-5938	5	27	without	without	ADP
american_scientific_journal-5938	5	28	dropout	dropout	NOUN
american_scientific_journal-5938	5	29	against	against	ADP
american_scientific_journal-5938	5	30	an	an	DET
american_scientific_journal-5938	5	31	identical	identical	ADJ
american_scientific_journal-5938	5	32	dataset	dataset	NOUN
american_scientific_journal-5938	5	33	.	.	PUNCT
american_scientific_journal-5938	6	1	the	the	DET
american_scientific_journal-5938	6	2	analysis	analysis	NOUN
american_scientific_journal-5938	6	3	demonstrated	demonstrate	VERB
american_scientific_journal-5938	6	4	that	that	SCONJ
american_scientific_journal-5938	6	5	an	an	DET
american_scientific_journal-5938	6	6	accuracy	accuracy	NOUN
american_scientific_journal-5938	6	7	rate	rate	NOUN
american_scientific_journal-5938	6	8	of	of	ADP
american_scientific_journal-5938	6	9	99.26	99.26	NUM
american_scientific_journal-5938	6	10	%	%	NOUN
american_scientific_journal-5938	6	11	for	for	ADP
american_scientific_journal-5938	6	12	the	the	DET
american_scientific_journal-5938	6	13	testing	testing	NOUN
american_scientific_journal-5938	6	14	dataset	dataset	NOUN
american_scientific_journal-5938	6	15	was	be	AUX
american_scientific_journal-5938	6	16	achieved	achieve	VERB
american_scientific_journal-5938	6	17	from	from	ADP
american_scientific_journal-5938	6	18	a	a	DET
american_scientific_journal-5938	6	19	three	three	NUM
american_scientific_journal-5938	6	20	-	-	PUNCT
american_scientific_journal-5938	6	21	layer	layer	NOUN
american_scientific_journal-5938	6	22	model	model	NOUN
american_scientific_journal-5938	6	23	with	with	ADP
american_scientific_journal-5938	6	24	an	an	DET
american_scientific_journal-5938	6	25	input	input	NOUN
american_scientific_journal-5938	6	26	image	image	NOUN
american_scientific_journal-5938	6	27	size	size	NOUN
american_scientific_journal-5938	6	28	of	of	ADP
american_scientific_journal-5938	6	29	32x32	32x32	NUM
american_scientific_journal-5938	6	30	with	with	ADP
american_scientific_journal-5938	6	31	dropout	dropout	NOUN
american_scientific_journal-5938	6	32	.	.	PUNCT
american_scientific_journal-5938	7	1	the	the	DET
american_scientific_journal-5938	7	2	classification	classification	NOUN
american_scientific_journal-5938	7	3	report	report	NOUN
american_scientific_journal-5938	7	4	of	of	ADP
american_scientific_journal-5938	7	5	any	any	DET
american_scientific_journal-5938	7	6	models	model	NOUN
american_scientific_journal-5938	7	7	was	be	AUX
american_scientific_journal-5938	7	8	produced	produce	VERB
american_scientific_journal-5938	7	9	to	to	PART
american_scientific_journal-5938	7	10	explore	explore	VERB
american_scientific_journal-5938	7	11	other	other	ADJ
american_scientific_journal-5938	7	12	metrics	metric	NOUN
american_scientific_journal-5938	7	13	such	such	ADJ
american_scientific_journal-5938	7	14	as	as	ADP
american_scientific_journal-5938	7	15	precision	precision	NOUN
american_scientific_journal-5938	7	16	,	,	PUNCT
american_scientific_journal-5938	7	17	recall	recall	NOUN
american_scientific_journal-5938	7	18	,	,	PUNCT
american_scientific_journal-5938	7	19	and	and	CCONJ
american_scientific_journal-5938	7	20	f1	f1	NOUN
american_scientific_journal-5938	7	21	-	-	PUNCT
american_scientific_journal-5938	7	22	score	score	NOUN
american_scientific_journal-5938	7	23	,	,	PUNCT
american_scientific_journal-5938	7	24	and	and	CCONJ
american_scientific_journal-5938	7	25	they	they	PRON
american_scientific_journal-5938	7	26	were	be	AUX
american_scientific_journal-5938	7	27	aligned	align	VERB
american_scientific_journal-5938	7	28	with	with	ADP
american_scientific_journal-5938	7	29	the	the	DET
american_scientific_journal-5938	7	30	accuracy	accuracy	NOUN
american_scientific_journal-5938	7	31	rates	rate	NOUN
american_scientific_journal-5938	7	32	as	as	SCONJ
american_scientific_journal-5938	7	33	this	this	DET
american_scientific_journal-5938	7	34	experiment	experiment	NOUN
american_scientific_journal-5938	7	35	was	be	AUX
american_scientific_journal-5938	7	36	a	a	DET
american_scientific_journal-5938	7	37	balanced	balanced	ADJ
american_scientific_journal-5938	7	38	data	datum	NOUN
american_scientific_journal-5938	7	39	situation	situation	NOUN
american_scientific_journal-5938	7	40	.	.	PUNCT
american_scientific_journal-5938	8	1	keywords	keyword	NOUN
american_scientific_journal-5938	8	2	:	:	PUNCT
american_scientific_journal-5938	8	3	deep	deep	ADJ
american_scientific_journal-5938	8	4	learning	learning	NOUN
american_scientific_journal-5938	8	5	;	;	PUNCT
american_scientific_journal-5938	8	6	computer	computer	NOUN
american_scientific_journal-5938	8	7	vision	vision	NOUN
american_scientific_journal-5938	8	8	;	;	PUNCT
american_scientific_journal-5938	8	9	image	image	NOUN
american_scientific_journal-5938	8	10	classification	classification	NOUN
american_scientific_journal-5938	8	11	;	;	PUNCT
american_scientific_journal-5938	8	12	convolutional	convolutional	ADJ
american_scientific_journal-5938	8	13	neural	neural	ADJ
american_scientific_journal-5938	8	14	networks	network	NOUN
american_scientific_journal-5938	8	15	.	.	PUNCT
american_scientific_journal-5938	9	1	1	1	X
american_scientific_journal-5938	9	2	.	.	X
american_scientific_journal-5938	9	3	introduction	introduction	NOUN
american_scientific_journal-5938	9	4	machine	machine	NOUN
american_scientific_journal-5938	9	5	learning	learning	PROPN
american_scientific_journal-5938	9	6	,	,	PUNCT
american_scientific_journal-5938	9	7	through	through	ADP
american_scientific_journal-5938	9	8	its	its	PRON
american_scientific_journal-5938	9	9	simplest	simple	ADJ
american_scientific_journal-5938	9	10	definition	definition	NOUN
american_scientific_journal-5938	9	11	[	[	X
american_scientific_journal-5938	9	12	1	1	NUM
american_scientific_journal-5938	9	13	]	]	PUNCT
american_scientific_journal-5938	9	14	,	,	PUNCT
american_scientific_journal-5938	9	15	refers	refer	VERB
american_scientific_journal-5938	9	16	to	to	ADP
american_scientific_journal-5938	9	17	a	a	DET
american_scientific_journal-5938	9	18	branch	branch	NOUN
american_scientific_journal-5938	9	19	of	of	ADP
american_scientific_journal-5938	9	20	computer	computer	NOUN
american_scientific_journal-5938	9	21	science	science	NOUN
american_scientific_journal-5938	9	22	where	where	SCONJ
american_scientific_journal-5938	9	23	we	we	PRON
american_scientific_journal-5938	9	24	train	train	VERB
american_scientific_journal-5938	9	25	our	our	PRON
american_scientific_journal-5938	9	26	computer	computer	NOUN
american_scientific_journal-5938	9	27	with	with	ADP
american_scientific_journal-5938	9	28	a	a	DET
american_scientific_journal-5938	9	29	certain	certain	ADJ
american_scientific_journal-5938	9	30	amount	amount	NOUN
american_scientific_journal-5938	9	31	of	of	ADP
american_scientific_journal-5938	9	32	data	datum	NOUN
american_scientific_journal-5938	9	33	to	to	PART
american_scientific_journal-5938	9	34	do	do	VERB
american_scientific_journal-5938	9	35	a	a	DET
american_scientific_journal-5938	9	36	determined	determined	ADJ
american_scientific_journal-5938	9	37	purpose	purpose	NOUN
american_scientific_journal-5938	9	38	,	,	PUNCT
american_scientific_journal-5938	9	39	which	which	PRON
american_scientific_journal-5938	9	40	is	be	AUX
american_scientific_journal-5938	9	41	called	call	VERB
american_scientific_journal-5938	9	42	training	training	NOUN
american_scientific_journal-5938	9	43	or	or	CCONJ
american_scientific_journal-5938	9	44	learning	learning	NOUN
american_scientific_journal-5938	9	45	procedure	procedure	NOUN
american_scientific_journal-5938	9	46	.	.	PUNCT
american_scientific_journal-5938	10	1	in	in	ADP
american_scientific_journal-5938	10	2	essence	essence	NOUN
american_scientific_journal-5938	10	3	,	,	PUNCT
american_scientific_journal-5938	10	4	in	in	ADP
american_scientific_journal-5938	10	5	machine	machine	NOUN
american_scientific_journal-5938	10	6	learning	learning	NOUN
american_scientific_journal-5938	10	7	,	,	PUNCT
american_scientific_journal-5938	10	8	we	we	PRON
american_scientific_journal-5938	10	9	can	can	AUX
american_scientific_journal-5938	10	10	train	train	VERB
american_scientific_journal-5938	10	11	our	our	PRON
american_scientific_journal-5938	10	12	software	software	NOUN
american_scientific_journal-5938	10	13	or	or	CCONJ
american_scientific_journal-5938	10	14	hardware	hardware	NOUN
american_scientific_journal-5938	10	15	-	-	PUNCT
american_scientific_journal-5938	10	16	based	base	VERB
american_scientific_journal-5938	10	17	applications	application	NOUN
american_scientific_journal-5938	10	18	,	,	PUNCT
american_scientific_journal-5938	10	19	so	so	ADV
american_scientific_journal-5938	10	20	-	-	PUNCT
american_scientific_journal-5938	10	21	called	call	VERB
american_scientific_journal-5938	10	22	machine	machine	NOUN
american_scientific_journal-5938	10	23	learning	learning	NOUN
american_scientific_journal-5938	10	24	models	model	NOUN
american_scientific_journal-5938	10	25	,	,	PUNCT
american_scientific_journal-5938	10	26	which	which	PRON
american_scientific_journal-5938	10	27	would	would	AUX
american_scientific_journal-5938	10	28	predict	predict	VERB
american_scientific_journal-5938	10	29	what	what	PRON
american_scientific_journal-5938	10	30	we	we	PRON
american_scientific_journal-5938	10	31	target	target	VERB
american_scientific_journal-5938	10	32	.	.	PUNCT
american_scientific_journal-5938	11	1	machine	machine	NOUN
american_scientific_journal-5938	11	2	learning	learning	NOUN
american_scientific_journal-5938	11	3	has	have	VERB
american_scientific_journal-5938	11	4	several	several	ADJ
american_scientific_journal-5938	11	5	subdivisions	subdivision	NOUN
american_scientific_journal-5938	11	6	that	that	SCONJ
american_scientific_journal-5938	11	7	we	we	PRON
american_scientific_journal-5938	11	8	will	will	AUX
american_scientific_journal-5938	11	9	discuss	discuss	VERB
american_scientific_journal-5938	11	10	in	in	ADP
american_scientific_journal-5938	11	11	the	the	DET
american_scientific_journal-5938	11	12	deep	deep	ADJ
american_scientific_journal-5938	11	13	learning	learning	NOUN
american_scientific_journal-5938	11	14	section	section	NOUN
american_scientific_journal-5938	11	15	.	.	PUNCT
american_scientific_journal-5938	12	1	in	in	ADP
american_scientific_journal-5938	12	2	principle	principle	NOUN
american_scientific_journal-5938	12	3	,	,	PUNCT
american_scientific_journal-5938	12	4	researchers	researcher	NOUN
american_scientific_journal-5938	12	5	consider	consider	VERB
american_scientific_journal-5938	12	6	deep	deep	ADJ
american_scientific_journal-5938	12	7	learning	learning	NOUN
american_scientific_journal-5938	12	8	as	as	ADP
american_scientific_journal-5938	12	9	a	a	DET
american_scientific_journal-5938	12	10	new	new	ADJ
american_scientific_journal-5938	12	11	branch	branch	NOUN
american_scientific_journal-5938	12	12	in	in	ADP
american_scientific_journal-5938	12	13	machine	machine	NOUN
american_scientific_journal-5938	12	14	learning	learning	NOUN
american_scientific_journal-5938	12	15	,	,	PUNCT
american_scientific_journal-5938	12	16	which	which	PRON
american_scientific_journal-5938	12	17	was	be	AUX
american_scientific_journal-5938	12	18	used	use	VERB
american_scientific_journal-5938	12	19	to	to	PART
american_scientific_journal-5938	12	20	be	be	AUX
american_scientific_journal-5938	12	21	obsolete	obsolete	ADJ
american_scientific_journal-5938	12	22	.	.	PUNCT
american_scientific_journal-5938	13	1	-----------------------------------------------------------------------	-----------------------------------------------------------------------	PUNCT
american_scientific_journal-5938	14	1	*	*	PUNCT
american_scientific_journal-5938	14	2	corresponding	correspond	VERB
american_scientific_journal-5938	14	3	author	author	NOUN
american_scientific_journal-5938	14	4	.	.	PUNCT
american_scientific_journal-5938	15	1	american	american	PROPN
american_scientific_journal-5938	15	2	scientific	scientific	ADJ
american_scientific_journal-5938	15	3	research	research	PROPN
american_scientific_journal-5938	15	4	journal	journal	NOUN
american_scientific_journal-5938	15	5	for	for	ADP
american_scientific_journal-5938	15	6	engineering	engineering	NOUN
american_scientific_journal-5938	15	7	,	,	PUNCT
american_scientific_journal-5938	15	8	technology	technology	NOUN
american_scientific_journal-5938	15	9	,	,	PUNCT
american_scientific_journal-5938	15	10	and	and	CCONJ
american_scientific_journal-5938	15	11	sciences	science	NOUN
american_scientific_journal-5938	15	12	(	(	PUNCT
american_scientific_journal-5938	15	13	asrjets	asrjet	NOUN
american_scientific_journal-5938	15	14	)	)	PUNCT
american_scientific_journal-5938	15	15	(	(	PUNCT
american_scientific_journal-5938	15	16	2020	2020	NUM
american_scientific_journal-5938	15	17	)	)	PUNCT
american_scientific_journal-5938	15	18	volume	volume	NOUN
american_scientific_journal-5938	15	19	68	68	NUM
american_scientific_journal-5938	15	20	,	,	PUNCT
american_scientific_journal-5938	15	21	no	no	DET
american_scientific_journal-5938	15	22	1	1	NUM
american_scientific_journal-5938	15	23	,	,	PUNCT
american_scientific_journal-5938	15	24	pp	pp	ADV
american_scientific_journal-5938	15	25	181	181	NUM
american_scientific_journal-5938	15	26	-	-	SYM
american_scientific_journal-5938	15	27	192	192	NUM
american_scientific_journal-5938	15	28	182	182	NUM
american_scientific_journal-5938	15	29	the	the	DET
american_scientific_journal-5938	15	30	reason	reason	NOUN
american_scientific_journal-5938	15	31	for	for	ADP
american_scientific_journal-5938	15	32	its	its	PRON
american_scientific_journal-5938	15	33	failure	failure	NOUN
american_scientific_journal-5938	15	34	to	to	ADP
american_scientific_journal-5938	15	35	date	date	NOUN
american_scientific_journal-5938	15	36	was	be	AUX
american_scientific_journal-5938	15	37	because	because	SCONJ
american_scientific_journal-5938	15	38	of	of	ADP
american_scientific_journal-5938	15	39	the	the	DET
american_scientific_journal-5938	15	40	less	less	ADV
american_scientific_journal-5938	15	41	powerful	powerful	ADJ
american_scientific_journal-5938	15	42	hardware	hardware	NOUN
american_scientific_journal-5938	15	43	to	to	ADP
american_scientific_journal-5938	15	44	process	process	NOUN
american_scientific_journal-5938	15	45	,	,	PUNCT
american_scientific_journal-5938	15	46	or	or	CCONJ
american_scientific_journal-5938	15	47	abstruse	abstruse	VERB
american_scientific_journal-5938	15	48	architecture	architecture	NOUN
american_scientific_journal-5938	15	49	did	do	AUX
american_scientific_journal-5938	15	50	not	not	PART
american_scientific_journal-5938	15	51	exist	exist	VERB
american_scientific_journal-5938	15	52	or	or	CCONJ
american_scientific_journal-5938	15	53	were	be	AUX
american_scientific_journal-5938	15	54	not	not	PART
american_scientific_journal-5938	15	55	as	as	ADV
american_scientific_journal-5938	15	56	advanced	advanced	ADJ
american_scientific_journal-5938	15	57	as	as	ADP
american_scientific_journal-5938	15	58	today	today	NOUN
american_scientific_journal-5938	15	59	.	.	PUNCT
american_scientific_journal-5938	16	1	deep	deep	ADJ
american_scientific_journal-5938	16	2	learning	learning	NOUN
american_scientific_journal-5938	16	3	models	model	NOUN
american_scientific_journal-5938	16	4	training	training	NOUN
american_scientific_journal-5938	16	5	requires	require	VERB
american_scientific_journal-5938	16	6	a	a	DET
american_scientific_journal-5938	16	7	robust	robust	ADJ
american_scientific_journal-5938	16	8	parallel	parallel	ADJ
american_scientific_journal-5938	16	9	processing	processing	NOUN
american_scientific_journal-5938	16	10	infrastructure	infrastructure	NOUN
american_scientific_journal-5938	16	11	,	,	PUNCT
american_scientific_journal-5938	16	12	and	and	CCONJ
american_scientific_journal-5938	16	13	advances	advance	NOUN
american_scientific_journal-5938	16	14	in	in	ADP
american_scientific_journal-5938	16	15	computational	computational	ADJ
american_scientific_journal-5938	16	16	science	science	NOUN
american_scientific_journal-5938	16	17	and	and	CCONJ
american_scientific_journal-5938	16	18	especially	especially	ADV
american_scientific_journal-5938	16	19	hardware	hardware	NOUN
american_scientific_journal-5938	16	20	have	have	AUX
american_scientific_journal-5938	16	21	enabled	enable	VERB
american_scientific_journal-5938	16	22	machine	machine	NOUN
american_scientific_journal-5938	16	23	learning	learning	NOUN
american_scientific_journal-5938	16	24	practitioners	practitioner	NOUN
american_scientific_journal-5938	16	25	to	to	PART
american_scientific_journal-5938	16	26	implement	implement	VERB
american_scientific_journal-5938	16	27	deep	deep	ADJ
american_scientific_journal-5938	16	28	learning	learning	NOUN
american_scientific_journal-5938	16	29	models	model	NOUN
american_scientific_journal-5938	16	30	.	.	PUNCT
american_scientific_journal-5938	17	1	deep	deep	ADJ
american_scientific_journal-5938	17	2	learning	learning	NOUN
american_scientific_journal-5938	17	3	has	have	VERB
american_scientific_journal-5938	17	4	a	a	DET
american_scientific_journal-5938	17	5	similar	similar	ADJ
american_scientific_journal-5938	17	6	architecture	architecture	NOUN
american_scientific_journal-5938	17	7	to	to	ADP
american_scientific_journal-5938	17	8	the	the	DET
american_scientific_journal-5938	17	9	human	human	ADJ
american_scientific_journal-5938	17	10	brain	brain	NOUN
american_scientific_journal-5938	17	11	(	(	PUNCT
american_scientific_journal-5938	17	12	neural	neural	ADJ
american_scientific_journal-5938	17	13	network	network	NOUN
american_scientific_journal-5938	17	14	)	)	PUNCT
american_scientific_journal-5938	17	15	that	that	PRON
american_scientific_journal-5938	17	16	is	be	AUX
american_scientific_journal-5938	17	17	designed	design	VERB
american_scientific_journal-5938	17	18	with	with	ADP
american_scientific_journal-5938	17	19	a	a	DET
american_scientific_journal-5938	17	20	large	large	ADJ
american_scientific_journal-5938	17	21	number	number	NOUN
american_scientific_journal-5938	17	22	of	of	ADP
american_scientific_journal-5938	17	23	neurons	neuron	NOUN
american_scientific_journal-5938	17	24	and	and	CCONJ
american_scientific_journal-5938	17	25	deep	deep	ADJ
american_scientific_journal-5938	17	26	,	,	PUNCT
american_scientific_journal-5938	17	27	capable	capable	ADJ
american_scientific_journal-5938	17	28	layers	layer	NOUN
american_scientific_journal-5938	17	29	that	that	PRON
american_scientific_journal-5938	17	30	can	can	AUX
american_scientific_journal-5938	17	31	be	be	AUX
american_scientific_journal-5938	17	32	learned	learn	VERB
american_scientific_journal-5938	17	33	and	and	CCONJ
american_scientific_journal-5938	17	34	enhance	enhance	VERB
american_scientific_journal-5938	17	35	performance	performance	NOUN
american_scientific_journal-5938	17	36	[	[	X
american_scientific_journal-5938	17	37	2	2	NUM
american_scientific_journal-5938	17	38	]	]	PUNCT
american_scientific_journal-5938	17	39	.	.	PUNCT
american_scientific_journal-5938	18	1	each	each	DET
american_scientific_journal-5938	18	2	neuron	neuron	NOUN
american_scientific_journal-5938	18	3	processes	process	VERB
american_scientific_journal-5938	18	4	a	a	DET
american_scientific_journal-5938	18	5	particular	particular	ADJ
american_scientific_journal-5938	18	6	stage	stage	NOUN
american_scientific_journal-5938	18	7	of	of	ADP
american_scientific_journal-5938	18	8	the	the	DET
american_scientific_journal-5938	18	9	learning	learning	NOUN
american_scientific_journal-5938	18	10	at	at	ADP
american_scientific_journal-5938	18	11	a	a	DET
american_scientific_journal-5938	18	12	particular	particular	ADJ
american_scientific_journal-5938	18	13	point	point	NOUN
american_scientific_journal-5938	18	14	in	in	ADP
american_scientific_journal-5938	18	15	inputs	input	NOUN
american_scientific_journal-5938	18	16	.	.	PUNCT
american_scientific_journal-5938	19	1	classical	classical	ADJ
american_scientific_journal-5938	19	2	neural	neural	ADJ
american_scientific_journal-5938	19	3	network	network	NOUN
american_scientific_journal-5938	19	4	architectures	architecture	NOUN
american_scientific_journal-5938	19	5	could	could	AUX
american_scientific_journal-5938	19	6	only	only	ADV
american_scientific_journal-5938	19	7	extract	extract	VERB
american_scientific_journal-5938	19	8	limited	limited	ADJ
american_scientific_journal-5938	19	9	features	feature	NOUN
american_scientific_journal-5938	19	10	from	from	ADP
american_scientific_journal-5938	19	11	imaging	image	VERB
american_scientific_journal-5938	19	12	data	datum	NOUN
american_scientific_journal-5938	19	13	in	in	ADP
american_scientific_journal-5938	19	14	computer	computer	NOUN
american_scientific_journal-5938	19	15	vision	vision	NOUN
american_scientific_journal-5938	19	16	problems	problem	NOUN
american_scientific_journal-5938	19	17	;	;	PUNCT
american_scientific_journal-5938	19	18	therefore	therefore	ADV
american_scientific_journal-5938	19	19	,	,	PUNCT
american_scientific_journal-5938	19	20	explicit	explicit	ADJ
american_scientific_journal-5938	19	21	feature	feature	NOUN
american_scientific_journal-5938	19	22	extraction	extraction	NOUN
american_scientific_journal-5938	19	23	was	be	AUX
american_scientific_journal-5938	19	24	required	require	VERB
american_scientific_journal-5938	19	25	before	before	ADP
american_scientific_journal-5938	19	26	training	train	VERB
american_scientific_journal-5938	19	27	neural	neural	ADJ
american_scientific_journal-5938	19	28	network	network	NOUN
american_scientific_journal-5938	19	29	models	model	NOUN
american_scientific_journal-5938	19	30	[	[	X
american_scientific_journal-5938	19	31	3	3	NUM
american_scientific_journal-5938	19	32	]	]	PUNCT
american_scientific_journal-5938	19	33	.	.	PUNCT
american_scientific_journal-5938	20	1	to	to	PART
american_scientific_journal-5938	20	2	resolve	resolve	VERB
american_scientific_journal-5938	20	3	such	such	DET
american_scientific_journal-5938	20	4	a	a	DET
american_scientific_journal-5938	20	5	problem	problem	NOUN
american_scientific_journal-5938	20	6	,	,	PUNCT
american_scientific_journal-5938	20	7	a	a	DET
american_scientific_journal-5938	20	8	three	three	NUM
american_scientific_journal-5938	20	9	dimensional	dimensional	ADJ
american_scientific_journal-5938	20	10	neural	neural	ADJ
american_scientific_journal-5938	20	11	network	network	NOUN
american_scientific_journal-5938	20	12	(	(	PUNCT
american_scientific_journal-5938	20	13	3d	3d	ADJ
american_scientific_journal-5938	20	14	convolutional	convolutional	ADJ
american_scientific_journal-5938	20	15	neural	neural	ADJ
american_scientific_journal-5938	20	16	network	network	NOUN
american_scientific_journal-5938	20	17	)	)	PUNCT
american_scientific_journal-5938	20	18	was	be	AUX
american_scientific_journal-5938	20	19	designed	design	VERB
american_scientific_journal-5938	20	20	by	by	ADP
american_scientific_journal-5938	20	21	scientists	scientist	NOUN
american_scientific_journal-5938	20	22	,	,	PUNCT
american_scientific_journal-5938	20	23	which	which	PRON
american_scientific_journal-5938	20	24	consists	consist	VERB
american_scientific_journal-5938	20	25	of	of	ADP
american_scientific_journal-5938	20	26	three	three	NUM
american_scientific_journal-5938	20	27	components	component	NOUN
american_scientific_journal-5938	20	28	of	of	ADP
american_scientific_journal-5938	20	29	weight	weight	NOUN
american_scientific_journal-5938	20	30	,	,	PUNCT
american_scientific_journal-5938	20	31	height	height	NOUN
american_scientific_journal-5938	20	32	,	,	PUNCT
american_scientific_journal-5938	20	33	and	and	CCONJ
american_scientific_journal-5938	20	34	depth	depth	NOUN
american_scientific_journal-5938	20	35	in	in	ADP
american_scientific_journal-5938	20	36	each	each	DET
american_scientific_journal-5938	20	37	layer	layer	NOUN
american_scientific_journal-5938	20	38	that	that	PRON
american_scientific_journal-5938	20	39	could	could	AUX
american_scientific_journal-5938	20	40	solve	solve	VERB
american_scientific_journal-5938	20	41	the	the	DET
american_scientific_journal-5938	20	42	mentioned	mention	VERB
american_scientific_journal-5938	20	43	problem	problem	NOUN
american_scientific_journal-5938	20	44	in	in	ADP
american_scientific_journal-5938	20	45	this	this	DET
american_scientific_journal-5938	20	46	architecture	architecture	NOUN
american_scientific_journal-5938	20	47	by	by	ADP
american_scientific_journal-5938	20	48	extracting	extract	VERB
american_scientific_journal-5938	20	49	more	more	ADJ
american_scientific_journal-5938	20	50	in	in	ADP
american_scientific_journal-5938	20	51	-	-	PUNCT
american_scientific_journal-5938	20	52	depth	depth	NOUN
american_scientific_journal-5938	20	53	features	feature	NOUN
american_scientific_journal-5938	20	54	from	from	ADP
american_scientific_journal-5938	20	55	data	datum	NOUN
american_scientific_journal-5938	20	56	.	.	PUNCT
american_scientific_journal-5938	21	1	convolutional	convolutional	ADJ
american_scientific_journal-5938	21	2	neural	neural	ADJ
american_scientific_journal-5938	21	3	networks	network	NOUN
american_scientific_journal-5938	21	4	so	so	ADV
american_scientific_journal-5938	21	5	-	-	PUNCT
american_scientific_journal-5938	21	6	called	call	VERB
american_scientific_journal-5938	21	7	cnns	cnn	NOUN
american_scientific_journal-5938	21	8	consist	consist	NOUN
american_scientific_journal-5938	21	9	of	of	ADP
american_scientific_journal-5938	21	10	a	a	DET
american_scientific_journal-5938	21	11	large	large	ADJ
american_scientific_journal-5938	21	12	number	number	NOUN
american_scientific_journal-5938	21	13	of	of	ADP
american_scientific_journal-5938	21	14	hidden	hidden	ADJ
american_scientific_journal-5938	21	15	layers	layer	NOUN
american_scientific_journal-5938	21	16	,	,	PUNCT
american_scientific_journal-5938	21	17	in	in	ADP
american_scientific_journal-5938	21	18	which	which	PRON
american_scientific_journal-5938	21	19	each	each	DET
american_scientific_journal-5938	21	20	layer	layer	NOUN
american_scientific_journal-5938	21	21	is	be	AUX
american_scientific_journal-5938	21	22	containing	contain	VERB
american_scientific_journal-5938	21	23	a	a	DET
american_scientific_journal-5938	21	24	large	large	ADJ
american_scientific_journal-5938	21	25	number	number	NOUN
american_scientific_journal-5938	21	26	of	of	ADP
american_scientific_journal-5938	21	27	neurons	neuron	NOUN
american_scientific_journal-5938	21	28	[	[	X
american_scientific_journal-5938	21	29	4	4	NUM
american_scientific_journal-5938	21	30	]	]	PUNCT
american_scientific_journal-5938	21	31	.	.	PUNCT
american_scientific_journal-5938	22	1	each	each	DET
american_scientific_journal-5938	22	2	neuron	neuron	NOUN
american_scientific_journal-5938	22	3	of	of	ADP
american_scientific_journal-5938	22	4	a	a	DET
american_scientific_journal-5938	22	5	given	give	VERB
american_scientific_journal-5938	22	6	layer	layer	NOUN
american_scientific_journal-5938	22	7	connects	connect	VERB
american_scientific_journal-5938	22	8	with	with	ADP
american_scientific_journal-5938	22	9	all	all	DET
american_scientific_journal-5938	22	10	the	the	DET
american_scientific_journal-5938	22	11	neurons	neuron	NOUN
american_scientific_journal-5938	22	12	in	in	ADP
american_scientific_journal-5938	22	13	the	the	DET
american_scientific_journal-5938	22	14	previous	previous	ADJ
american_scientific_journal-5938	22	15	layer	layer	NOUN
american_scientific_journal-5938	22	16	but	but	CCONJ
american_scientific_journal-5938	22	17	works	work	VERB
american_scientific_journal-5938	22	18	individually	individually	ADV
american_scientific_journal-5938	22	19	.	.	PUNCT
american_scientific_journal-5938	23	1	each	each	DET
american_scientific_journal-5938	23	2	convolutional	convolutional	ADJ
american_scientific_journal-5938	23	3	neural	neural	ADJ
american_scientific_journal-5938	23	4	network	network	NOUN
american_scientific_journal-5938	23	5	referring	refer	VERB
american_scientific_journal-5938	23	6	to	to	ADP
american_scientific_journal-5938	23	7	cnn	cnn	PROPN
american_scientific_journal-5938	23	8	consists	consist	VERB
american_scientific_journal-5938	23	9	of	of	ADP
american_scientific_journal-5938	23	10	three	three	NUM
american_scientific_journal-5938	23	11	components	component	NOUN
american_scientific_journal-5938	23	12	:	:	PUNCT
american_scientific_journal-5938	23	13	1convolutional	1convolutional	ADJ
american_scientific_journal-5938	23	14	layer	layer	NOUN
american_scientific_journal-5938	23	15	(	(	PUNCT
american_scientific_journal-5938	23	16	conv	conv	ADJ
american_scientific_journal-5938	23	17	)	)	PUNCT
american_scientific_journal-5938	23	18	,	,	PUNCT
american_scientific_journal-5938	23	19	2pooling	2pooling	NOUN
american_scientific_journal-5938	23	20	layer	layer	NOUN
american_scientific_journal-5938	23	21	,	,	PUNCT
american_scientific_journal-5938	23	22	3fully	3fully	ADV
american_scientific_journal-5938	23	23	connected	connected	ADJ
american_scientific_journal-5938	23	24	layer	layer	NOUN
american_scientific_journal-5938	23	25	.	.	PUNCT
american_scientific_journal-5938	24	1	each	each	DET
american_scientific_journal-5938	24	2	conv	conv	ADJ
american_scientific_journal-5938	24	3	layer	layer	NOUN
american_scientific_journal-5938	24	4	is	be	AUX
american_scientific_journal-5938	24	5	in	in	ADP
american_scientific_journal-5938	24	6	charge	charge	NOUN
american_scientific_journal-5938	24	7	of	of	ADP
american_scientific_journal-5938	24	8	breaking	break	VERB
american_scientific_journal-5938	24	9	down	down	ADP
american_scientific_journal-5938	24	10	pixels	pixel	NOUN
american_scientific_journal-5938	24	11	into	into	ADP
american_scientific_journal-5938	24	12	smaller	small	ADJ
american_scientific_journal-5938	24	13	processable	processable	ADJ
american_scientific_journal-5938	24	14	blocks	block	NOUN
american_scientific_journal-5938	24	15	consisting	consist	VERB
american_scientific_journal-5938	24	16	of	of	ADP
american_scientific_journal-5938	24	17	that	that	PRON
american_scientific_journal-5938	24	18	are	be	AUX
american_scientific_journal-5938	24	19	convolved	convolve	VERB
american_scientific_journal-5938	24	20	by	by	ADP
american_scientific_journal-5938	24	21	several	several	ADJ
american_scientific_journal-5938	24	22	filters	filter	NOUN
american_scientific_journal-5938	24	23	in	in	ADP
american_scientific_journal-5938	24	24	each	each	DET
american_scientific_journal-5938	24	25	iteration	iteration	NOUN
american_scientific_journal-5938	24	26	for	for	ADP
american_scientific_journal-5938	24	27	learning	learn	VERB
american_scientific_journal-5938	24	28	and	and	CCONJ
american_scientific_journal-5938	24	29	activating	activate	VERB
american_scientific_journal-5938	24	30	neurons	neuron	NOUN
american_scientific_journal-5938	24	31	in	in	ADP
american_scientific_journal-5938	24	32	the	the	DET
american_scientific_journal-5938	24	33	higher	high	ADJ
american_scientific_journal-5938	24	34	layers	layer	NOUN
american_scientific_journal-5938	24	35	.	.	PUNCT
american_scientific_journal-5938	25	1	the	the	DET
american_scientific_journal-5938	25	2	pooling	pool	VERB
american_scientific_journal-5938	25	3	layer	layer	NOUN
american_scientific_journal-5938	25	4	,	,	PUNCT
american_scientific_journal-5938	25	5	which	which	PRON
american_scientific_journal-5938	25	6	is	be	AUX
american_scientific_journal-5938	25	7	commonly	commonly	ADV
american_scientific_journal-5938	25	8	used	use	VERB
american_scientific_journal-5938	25	9	between	between	ADP
american_scientific_journal-5938	25	10	conv	conv	ADJ
american_scientific_journal-5938	25	11	layers	layer	NOUN
american_scientific_journal-5938	25	12	,	,	PUNCT
american_scientific_journal-5938	25	13	reduces	reduce	VERB
american_scientific_journal-5938	25	14	the	the	DET
american_scientific_journal-5938	25	15	number	number	NOUN
american_scientific_journal-5938	25	16	of	of	ADP
american_scientific_journal-5938	25	17	parameters	parameter	NOUN
american_scientific_journal-5938	25	18	and	and	CCONJ
american_scientific_journal-5938	25	19	calculations	calculation	NOUN
american_scientific_journal-5938	25	20	,	,	PUNCT
american_scientific_journal-5938	25	21	which	which	PRON
american_scientific_journal-5938	25	22	usually	usually	ADV
american_scientific_journal-5938	25	23	downsamples	downsample	VERB
american_scientific_journal-5938	25	24	input	input	NOUN
american_scientific_journal-5938	25	25	data	datum	NOUN
american_scientific_journal-5938	25	26	(	(	PUNCT
american_scientific_journal-5938	25	27	i.e.	i.e.	X
american_scientific_journal-5938	25	28	,	,	PUNCT
american_scientific_journal-5938	25	29	feature	feature	NOUN
american_scientific_journal-5938	25	30	maps	map	NOUN
american_scientific_journal-5938	25	31	)	)	PUNCT
american_scientific_journal-5938	25	32	by	by	ADP
american_scientific_journal-5938	25	33	the	the	DET
american_scientific_journal-5938	25	34	size	size	NOUN
american_scientific_journal-5938	25	35	of	of	ADP
american_scientific_journal-5938	25	36	two	two	NUM
american_scientific_journal-5938	25	37	.	.	PUNCT
american_scientific_journal-5938	26	1	fully	fully	ADV
american_scientific_journal-5938	26	2	connected	connect	VERB
american_scientific_journal-5938	26	3	layer	layer	NOUN
american_scientific_journal-5938	26	4	,	,	PUNCT
american_scientific_journal-5938	26	5	as	as	SCONJ
american_scientific_journal-5938	26	6	its	its	PRON
american_scientific_journal-5938	26	7	name	name	NOUN
american_scientific_journal-5938	26	8	suggests	suggest	VERB
american_scientific_journal-5938	26	9	,	,	PUNCT
american_scientific_journal-5938	26	10	is	be	AUX
american_scientific_journal-5938	26	11	a	a	DET
american_scientific_journal-5938	26	12	layer	layer	NOUN
american_scientific_journal-5938	26	13	where	where	SCONJ
american_scientific_journal-5938	26	14	all	all	DET
american_scientific_journal-5938	26	15	its	its	PRON
american_scientific_journal-5938	26	16	neurons	neuron	NOUN
american_scientific_journal-5938	26	17	connect	connect	VERB
american_scientific_journal-5938	26	18	with	with	ADP
american_scientific_journal-5938	26	19	the	the	DET
american_scientific_journal-5938	26	20	previous	previous	ADJ
american_scientific_journal-5938	26	21	layer	layer	NOUN
american_scientific_journal-5938	26	22	,	,	PUNCT
american_scientific_journal-5938	26	23	and	and	CCONJ
american_scientific_journal-5938	26	24	this	this	PRON
american_scientific_journal-5938	26	25	is	be	AUX
american_scientific_journal-5938	26	26	the	the	DET
american_scientific_journal-5938	26	27	main	main	ADJ
american_scientific_journal-5938	26	28	bridge	bridge	NOUN
american_scientific_journal-5938	26	29	between	between	ADP
american_scientific_journal-5938	26	30	this	this	DET
american_scientific_journal-5938	26	31	layer	layer	NOUN
american_scientific_journal-5938	26	32	and	and	CCONJ
american_scientific_journal-5938	26	33	the	the	DET
american_scientific_journal-5938	26	34	conv	conv	ADJ
american_scientific_journal-5938	26	35	layer	layer	NOUN
american_scientific_journal-5938	26	36	.	.	PUNCT
american_scientific_journal-5938	27	1	in	in	ADP
american_scientific_journal-5938	27	2	the	the	DET
american_scientific_journal-5938	27	3	conv	conv	ADJ
american_scientific_journal-5938	27	4	layer	layer	NOUN
american_scientific_journal-5938	27	5	,	,	PUNCT
american_scientific_journal-5938	27	6	the	the	DET
american_scientific_journal-5938	27	7	neurons	neuron	NOUN
american_scientific_journal-5938	27	8	are	be	AUX
american_scientific_journal-5938	27	9	only	only	ADV
american_scientific_journal-5938	27	10	in	in	ADP
american_scientific_journal-5938	27	11	touch	touch	NOUN
american_scientific_journal-5938	27	12	with	with	ADP
american_scientific_journal-5938	27	13	a	a	DET
american_scientific_journal-5938	27	14	local	local	ADJ
american_scientific_journal-5938	27	15	area	area	NOUN
american_scientific_journal-5938	27	16	of	of	ADP
american_scientific_journal-5938	27	17	inputs	input	NOUN
american_scientific_journal-5938	27	18	,	,	PUNCT
american_scientific_journal-5938	27	19	but	but	CCONJ
american_scientific_journal-5938	27	20	in	in	ADP
american_scientific_journal-5938	27	21	a	a	DET
american_scientific_journal-5938	27	22	fully	fully	ADV
american_scientific_journal-5938	27	23	connected	connect	VERB
american_scientific_journal-5938	27	24	layer	layer	NOUN
american_scientific_journal-5938	27	25	,	,	PUNCT
american_scientific_journal-5938	27	26	all	all	DET
american_scientific_journal-5938	27	27	neurons	neuron	NOUN
american_scientific_journal-5938	27	28	from	from	ADP
american_scientific_journal-5938	27	29	the	the	DET
american_scientific_journal-5938	27	30	previous	previous	ADJ
american_scientific_journal-5938	27	31	layer	layer	NOUN
american_scientific_journal-5938	27	32	connect	connect	VERB
american_scientific_journal-5938	27	33	with	with	ADP
american_scientific_journal-5938	27	34	the	the	DET
american_scientific_journal-5938	27	35	current	current	ADJ
american_scientific_journal-5938	27	36	layer	layer	NOUN
american_scientific_journal-5938	27	37	.	.	PUNCT
american_scientific_journal-5938	28	1	image	image	NOUN
american_scientific_journal-5938	28	2	classification	classification	NOUN
american_scientific_journal-5938	28	3	has	have	VERB
american_scientific_journal-5938	28	4	a	a	DET
american_scientific_journal-5938	28	5	broad	broad	ADJ
american_scientific_journal-5938	28	6	application	application	NOUN
american_scientific_journal-5938	28	7	in	in	ADP
american_scientific_journal-5938	28	8	computer	computer	NOUN
american_scientific_journal-5938	28	9	vision	vision	NOUN
american_scientific_journal-5938	28	10	problems	problem	NOUN
american_scientific_journal-5938	28	11	and	and	CCONJ
american_scientific_journal-5938	28	12	refers	refer	VERB
american_scientific_journal-5938	28	13	to	to	ADP
american_scientific_journal-5938	28	14	a	a	DET
american_scientific_journal-5938	28	15	set	set	NOUN
american_scientific_journal-5938	28	16	of	of	ADP
american_scientific_journal-5938	28	17	machine	machine	NOUN
american_scientific_journal-5938	28	18	learning	learning	NOUN
american_scientific_journal-5938	28	19	or	or	CCONJ
american_scientific_journal-5938	28	20	deep	deep	ADJ
american_scientific_journal-5938	28	21	learning	learning	NOUN
american_scientific_journal-5938	28	22	methods	method	NOUN
american_scientific_journal-5938	28	23	to	to	PART
american_scientific_journal-5938	28	24	classify	classify	VERB
american_scientific_journal-5938	28	25	images	image	NOUN
american_scientific_journal-5938	28	26	in	in	ADP
american_scientific_journal-5938	28	27	a	a	DET
american_scientific_journal-5938	28	28	given	give	VERB
american_scientific_journal-5938	28	29	dataset	dataset	NOUN
american_scientific_journal-5938	28	30	into	into	ADP
american_scientific_journal-5938	28	31	different	different	ADJ
american_scientific_journal-5938	28	32	categories	category	NOUN
american_scientific_journal-5938	28	33	.	.	PUNCT
american_scientific_journal-5938	29	1	the	the	DET
american_scientific_journal-5938	29	2	purpose	purpose	NOUN
american_scientific_journal-5938	29	3	of	of	ADP
american_scientific_journal-5938	29	4	classification	classification	NOUN
american_scientific_journal-5938	29	5	can	can	AUX
american_scientific_journal-5938	29	6	either	either	CCONJ
american_scientific_journal-5938	29	7	be	be	AUX
american_scientific_journal-5938	29	8	a	a	DET
american_scientific_journal-5938	29	9	yes	yes	NOUN
american_scientific_journal-5938	29	10	/	/	SYM
american_scientific_journal-5938	29	11	no	no	DET
american_scientific_journal-5938	29	12	decision	decision	NOUN
american_scientific_journal-5938	29	13	so	so	ADV
american_scientific_journal-5938	29	14	-	-	PUNCT
american_scientific_journal-5938	29	15	called	call	VERB
american_scientific_journal-5938	29	16	binary	binary	ADJ
american_scientific_journal-5938	29	17	classification	classification	NOUN
american_scientific_journal-5938	29	18	where	where	SCONJ
american_scientific_journal-5938	29	19	a	a	DET
american_scientific_journal-5938	29	20	given	give	VERB
american_scientific_journal-5938	29	21	item	item	NOUN
american_scientific_journal-5938	29	22	is	be	AUX
american_scientific_journal-5938	29	23	predicted	predict	VERB
american_scientific_journal-5938	29	24	as	as	ADP
american_scientific_journal-5938	29	25	class	class	NOUN
american_scientific_journal-5938	29	26	0	0	NUM
american_scientific_journal-5938	29	27	or	or	CCONJ
american_scientific_journal-5938	29	28	class	class	NOUN
american_scientific_journal-5938	29	29	1	1	NUM
american_scientific_journal-5938	29	30	,	,	PUNCT
american_scientific_journal-5938	29	31	or	or	CCONJ
american_scientific_journal-5938	29	32	several	several	ADJ
american_scientific_journal-5938	29	33	classes	class	NOUN
american_scientific_journal-5938	29	34	referring	refer	VERB
american_scientific_journal-5938	29	35	to	to	ADP
american_scientific_journal-5938	29	36	multi	multi	ADJ
american_scientific_journal-5938	29	37	-	-	ADJ
american_scientific_journal-5938	29	38	class	class	ADJ
american_scientific_journal-5938	29	39	classification	classification	NOUN
american_scientific_journal-5938	29	40	.	.	PUNCT
american_scientific_journal-5938	30	1	classification	classification	NOUN
american_scientific_journal-5938	30	2	is	be	AUX
american_scientific_journal-5938	30	3	one	one	NUM
american_scientific_journal-5938	30	4	of	of	ADP
american_scientific_journal-5938	30	5	the	the	DET
american_scientific_journal-5938	30	6	main	main	ADJ
american_scientific_journal-5938	30	7	bases	basis	NOUN
american_scientific_journal-5938	30	8	of	of	ADP
american_scientific_journal-5938	30	9	object	object	NOUN
american_scientific_journal-5938	30	10	recognition	recognition	NOUN
american_scientific_journal-5938	30	11	and	and	CCONJ
american_scientific_journal-5938	30	12	class	class	NOUN
american_scientific_journal-5938	30	13	prediction	prediction	NOUN
american_scientific_journal-5938	30	14	of	of	ADP
american_scientific_journal-5938	30	15	each	each	DET
american_scientific_journal-5938	30	16	item	item	NOUN
american_scientific_journal-5938	30	17	.	.	PUNCT
american_scientific_journal-5938	31	1	these	these	DET
american_scientific_journal-5938	31	2	days	day	NOUN
american_scientific_journal-5938	31	3	,	,	PUNCT
american_scientific_journal-5938	31	4	a	a	DET
american_scientific_journal-5938	31	5	variety	variety	NOUN
american_scientific_journal-5938	31	6	of	of	ADP
american_scientific_journal-5938	31	7	algorithms	algorithm	NOUN
american_scientific_journal-5938	31	8	and	and	CCONJ
american_scientific_journal-5938	31	9	methods	method	NOUN
american_scientific_journal-5938	31	10	have	have	AUX
american_scientific_journal-5938	31	11	been	be	AUX
american_scientific_journal-5938	31	12	developed	develop	VERB
american_scientific_journal-5938	31	13	to	to	PART
american_scientific_journal-5938	31	14	increase	increase	VERB
american_scientific_journal-5938	31	15	productivity	productivity	NOUN
american_scientific_journal-5938	31	16	and	and	CCONJ
american_scientific_journal-5938	31	17	enhance	enhance	VERB
american_scientific_journal-5938	31	18	existing	exist	VERB
american_scientific_journal-5938	31	19	classification	classification	NOUN
american_scientific_journal-5938	31	20	performance	performance	NOUN
american_scientific_journal-5938	31	21	and	and	CCONJ
american_scientific_journal-5938	31	22	have	have	AUX
american_scientific_journal-5938	31	23	shown	show	VERB
american_scientific_journal-5938	31	24	significant	significant	ADJ
american_scientific_journal-5938	31	25	progress	progress	NOUN
american_scientific_journal-5938	31	26	[	[	X
american_scientific_journal-5938	31	27	5	5	NUM
american_scientific_journal-5938	31	28	]	]	PUNCT
american_scientific_journal-5938	31	29	.	.	PUNCT
american_scientific_journal-5938	32	1	2	2	X
american_scientific_journal-5938	32	2	.	.	NUM
american_scientific_journal-5938	32	3	related	relate	VERB
american_scientific_journal-5938	32	4	works	work	NOUN
american_scientific_journal-5938	32	5	deruja	deruja	NOUN
american_scientific_journal-5938	32	6	and	and	CCONJ
american_scientific_journal-5938	32	7	his	his	PRON
american_scientific_journal-5938	32	8	colleagues	colleague	NOUN
american_scientific_journal-5938	32	9	demonstrated	demonstrate	VERB
american_scientific_journal-5938	32	10	in	in	ADP
american_scientific_journal-5938	32	11	their	their	PRON
american_scientific_journal-5938	32	12	work	work	NOUN
american_scientific_journal-5938	32	13	that	that	SCONJ
american_scientific_journal-5938	32	14	by	by	ADP
american_scientific_journal-5938	32	15	using	use	VERB
american_scientific_journal-5938	32	16	two	two	NUM
american_scientific_journal-5938	32	17	classes	class	NOUN
american_scientific_journal-5938	32	18	(	(	PUNCT
american_scientific_journal-5938	32	19	dog	dog	NOUN
american_scientific_journal-5938	32	20	/	/	SYM
american_scientific_journal-5938	32	21	cat	cat	NOUN
american_scientific_journal-5938	32	22	)	)	PUNCT
american_scientific_journal-5938	32	23	and	and	CCONJ
american_scientific_journal-5938	32	24	8000	8000	NUM
american_scientific_journal-5938	32	25	samples	sample	NOUN
american_scientific_journal-5938	32	26	data	datum	NOUN
american_scientific_journal-5938	32	27	for	for	ADP
american_scientific_journal-5938	32	28	training	training	NOUN
american_scientific_journal-5938	32	29	and	and	CCONJ
american_scientific_journal-5938	32	30	2000	2000	NUM
american_scientific_journal-5938	32	31	samples	sample	NOUN
american_scientific_journal-5938	32	32	to	to	PART
american_scientific_journal-5938	32	33	test	test	VERB
american_scientific_journal-5938	32	34	the	the	DET
american_scientific_journal-5938	32	35	model	model	NOUN
american_scientific_journal-5938	32	36	,	,	PUNCT
american_scientific_journal-5938	32	37	they	they	PRON
american_scientific_journal-5938	32	38	succeeded	succeed	VERB
american_scientific_journal-5938	32	39	to	to	PART
american_scientific_journal-5938	32	40	build	build	VERB
american_scientific_journal-5938	32	41	a	a	DET
american_scientific_journal-5938	32	42	three	three	NUM
american_scientific_journal-5938	32	43	-	-	PUNCT
american_scientific_journal-5938	32	44	layer	layer	NOUN
american_scientific_journal-5938	32	45	neural	neural	ADJ
american_scientific_journal-5938	32	46	network	network	NOUN
american_scientific_journal-5938	32	47	and	and	CCONJ
american_scientific_journal-5938	32	48	they	they	PRON
american_scientific_journal-5938	32	49	achieved	achieve	VERB
american_scientific_journal-5938	32	50	to	to	ADP
american_scientific_journal-5938	32	51	an	an	DET
american_scientific_journal-5938	32	52	efficiency	efficiency	NOUN
american_scientific_journal-5938	32	53	which	which	PRON
american_scientific_journal-5938	32	54	equals	equal	VERB
american_scientific_journal-5938	32	55	to	to	ADP
american_scientific_journal-5938	32	56	0.83	0.83	NUM
american_scientific_journal-5938	32	57	%	%	NOUN
american_scientific_journal-5938	32	58	and	and	CCONJ
american_scientific_journal-5938	32	59	loss	loss	NOUN
american_scientific_journal-5938	32	60	with	with	ADP
american_scientific_journal-5938	32	61	0.39	0.39	NUM
american_scientific_journal-5938	32	62	%	%	NOUN
american_scientific_journal-5938	33	1	[	[	X
american_scientific_journal-5938	33	2	6	6	NUM
american_scientific_journal-5938	33	3	]	]	PUNCT
american_scientific_journal-5938	33	4	.	.	PUNCT
american_scientific_journal-5938	34	1	sarraf	sarraf	NOUN
american_scientific_journal-5938	34	2	and	and	CCONJ
american_scientific_journal-5938	34	3	his	his	PRON
american_scientific_journal-5938	34	4	colleagues	colleague	NOUN
american_scientific_journal-5938	34	5	researched	research	VERB
american_scientific_journal-5938	34	6	image	image	NOUN
american_scientific_journal-5938	34	7	classification	classification	NOUN
american_scientific_journal-5938	34	8	usage	usage	NOUN
american_scientific_journal-5938	34	9	in	in	ADP
american_scientific_journal-5938	34	10	mri	mri	NOUN
american_scientific_journal-5938	34	11	and	and	CCONJ
american_scientific_journal-5938	34	12	fmri	fmri	NOUN
american_scientific_journal-5938	34	13	for	for	ADP
american_scientific_journal-5938	34	14	brain	brain	NOUN
american_scientific_journal-5938	34	15	function	function	NOUN
american_scientific_journal-5938	34	16	,	,	PUNCT
american_scientific_journal-5938	34	17	in	in	ADP
american_scientific_journal-5938	34	18	which	which	PRON
american_scientific_journal-5938	34	19	the	the	DET
american_scientific_journal-5938	34	20	team	team	NOUN
american_scientific_journal-5938	34	21	succeeded	succeed	VERB
american_scientific_journal-5938	34	22	in	in	ADP
american_scientific_journal-5938	34	23	achieving	achieve	VERB
american_scientific_journal-5938	34	24	some	some	DET
american_scientific_journal-5938	34	25	implemental	implemental	ADJ
american_scientific_journal-5938	34	26	results	result	NOUN
american_scientific_journal-5938	34	27	[	[	X
american_scientific_journal-5938	34	28	7	7	NUM
american_scientific_journal-5938	34	29	]	]	PUNCT
american_scientific_journal-5938	34	30	.	.	PUNCT
american_scientific_journal-5938	35	1	shanmukhi	shanmukhi	PROPN
american_scientific_journal-5938	35	2	and	and	CCONJ
american_scientific_journal-5938	35	3	his	his	PRON
american_scientific_journal-5938	35	4	colleagues	colleague	NOUN
american_scientific_journal-5938	35	5	showed	show	VERB
american_scientific_journal-5938	35	6	that	that	SCONJ
american_scientific_journal-5938	35	7	team	team	NOUN
american_scientific_journal-5938	35	8	members	member	NOUN
american_scientific_journal-5938	35	9	designed	design	VERB
american_scientific_journal-5938	35	10	a	a	DET
american_scientific_journal-5938	35	11	cnn	cnn	PROPN
american_scientific_journal-5938	35	12	model	model	NOUN
american_scientific_journal-5938	35	13	with	with	ADP
american_scientific_journal-5938	35	14	2000	2000	NUM
american_scientific_journal-5938	35	15	samples	sample	NOUN
american_scientific_journal-5938	35	16	of	of	ADP
american_scientific_journal-5938	35	17	dogs	dog	NOUN
american_scientific_journal-5938	35	18	and	and	CCONJ
american_scientific_journal-5938	35	19	cats	cat	NOUN
american_scientific_journal-5938	35	20	for	for	ADP
american_scientific_journal-5938	35	21	training	training	NOUN
american_scientific_journal-5938	35	22	and	and	CCONJ
american_scientific_journal-5938	35	23	400	400	NUM
american_scientific_journal-5938	35	24	samples	sample	NOUN
american_scientific_journal-5938	35	25	for	for	ADP
american_scientific_journal-5938	35	26	testing	testing	NOUN
american_scientific_journal-5938	35	27	,	,	PUNCT
american_scientific_journal-5938	35	28	which	which	DET
american_scientific_journal-5938	35	29	prints	print	NOUN
american_scientific_journal-5938	35	30	predicted	predict	VERB
american_scientific_journal-5938	35	31	writing	writing	NOUN
american_scientific_journal-5938	35	32	of	of	ADP
american_scientific_journal-5938	35	33	“	"	PUNCT
american_scientific_journal-5938	35	34	input	input	NOUN
american_scientific_journal-5938	35	35	photographed	photograph	VERB
american_scientific_journal-5938	35	36	is	be	AUX
american_scientific_journal-5938	35	37	a	a	DET
american_scientific_journal-5938	35	38	dog	dog	NOUN
american_scientific_journal-5938	35	39	/	/	SYM
american_scientific_journal-5938	35	40	cat	cat	NOUN
american_scientific_journal-5938	35	41	”	"	PUNCT
american_scientific_journal-5938	36	1	[	[	X
american_scientific_journal-5938	36	2	8	8	NUM
american_scientific_journal-5938	36	3	]	]	SYM
american_scientific_journal-5938	36	4	.	.	PUNCT
american_scientific_journal-5938	36	5	shiddieqy	shiddieqy	PROPN
american_scientific_journal-5938	36	6	and	and	CCONJ
american_scientific_journal-5938	36	7	his	his	PRON
american_scientific_journal-5938	36	8	colleagues	colleague	NOUN
american_scientific_journal-5938	36	9	designed	design	VERB
american_scientific_journal-5938	36	10	several	several	ADJ
american_scientific_journal-5938	36	11	neural	neural	ADJ
american_scientific_journal-5938	36	12	network	network	NOUN
american_scientific_journal-5938	36	13	models	model	NOUN
american_scientific_journal-5938	36	14	with	with	ADP
american_scientific_journal-5938	36	15	two	two	NUM
american_scientific_journal-5938	36	16	and	and	CCONJ
american_scientific_journal-5938	36	17	five	five	NUM
american_scientific_journal-5938	36	18	layers	layer	NOUN
american_scientific_journal-5938	36	19	and	and	CCONJ
american_scientific_journal-5938	36	20	set	set	VERB
american_scientific_journal-5938	36	21	90	90	NUM
american_scientific_journal-5938	36	22	times	time	NOUN
american_scientific_journal-5938	36	23	for	for	ADP
american_scientific_journal-5938	36	24	epochs	epoch	NOUN
american_scientific_journal-5938	36	25	,	,	PUNCT
american_scientific_journal-5938	36	26	which	which	PRON
american_scientific_journal-5938	36	27	used	use	VERB
american_scientific_journal-5938	36	28	25000	25000	NUM
american_scientific_journal-5938	36	29	samples	sample	NOUN
american_scientific_journal-5938	36	30	for	for	ADP
american_scientific_journal-5938	36	31	training	training	NOUN
american_scientific_journal-5938	36	32	(	(	PUNCT
american_scientific_journal-5938	36	33	12500	12500	NUM
american_scientific_journal-5938	36	34	were	be	AUX
american_scientific_journal-5938	36	35	dogs	dog	NOUN
american_scientific_journal-5938	36	36	,	,	PUNCT
american_scientific_journal-5938	36	37	and	and	CCONJ
american_scientific_journal-5938	36	38	the	the	DET
american_scientific_journal-5938	36	39	rest	rest	NOUN
american_scientific_journal-5938	36	40	were	be	AUX
american_scientific_journal-5938	36	41	cats	cat	NOUN
american_scientific_journal-5938	36	42	)	)	PUNCT
american_scientific_journal-5938	36	43	and	and	CCONJ
american_scientific_journal-5938	36	44	12500	12500	NUM
american_scientific_journal-5938	36	45	samples	sample	NOUN
american_scientific_journal-5938	36	46	for	for	ADP
american_scientific_journal-5938	36	47	testing	testing	NOUN
american_scientific_journal-5938	36	48	.	.	PUNCT
american_scientific_journal-5938	37	1	finally	finally	ADV
american_scientific_journal-5938	37	2	,	,	PUNCT
american_scientific_journal-5938	37	3	the	the	DET
american_scientific_journal-5938	37	4	yield	yield	NOUN
american_scientific_journal-5938	37	5	for	for	ADP
american_scientific_journal-5938	37	6	the	the	DET
american_scientific_journal-5938	37	7	two	two	NUM
american_scientific_journal-5938	37	8	-	-	PUNCT
american_scientific_journal-5938	37	9	layer	layer	NOUN
american_scientific_journal-5938	37	10	model	model	NOUN
american_scientific_journal-5938	37	11	accuracy	accuracy	NOUN
american_scientific_journal-5938	37	12	was	be	AUX
american_scientific_journal-5938	37	13	0.556	0.556	NUM
american_scientific_journal-5938	37	14	%	%	NOUN
american_scientific_journal-5938	37	15	,	,	PUNCT
american_scientific_journal-5938	37	16	and	and	CCONJ
american_scientific_journal-5938	37	17	the	the	DET
american_scientific_journal-5938	37	18	loss	loss	NOUN
american_scientific_journal-5938	37	19	was	be	AUX
american_scientific_journal-5938	37	20	11.409	11.409	NUM
american_scientific_journal-5938	37	21	,	,	PUNCT
american_scientific_journal-5938	37	22	and	and	CCONJ
american_scientific_journal-5938	37	23	the	the	DET
american_scientific_journal-5938	37	24	five	five	NUM
american_scientific_journal-5938	37	25	-	-	PUNCT
american_scientific_journal-5938	37	26	layer	layer	NOUN
american_scientific_journal-5938	37	27	model	model	NOUN
american_scientific_journal-5938	37	28	accuracy	accuracy	NOUN
american_scientific_journal-5938	37	29	was	be	AUX
american_scientific_journal-5938	37	30	0.77	0.77	NUM
american_scientific_journal-5938	37	31	%	%	NOUN
american_scientific_journal-5938	37	32	,	,	PUNCT
american_scientific_journal-5938	37	33	and	and	CCONJ
american_scientific_journal-5938	37	34	the	the	DET
american_scientific_journal-5938	37	35	loss	loss	NOUN
american_scientific_journal-5938	37	36	value	value	NOUN
american_scientific_journal-5938	37	37	was	be	AUX
american_scientific_journal-5938	37	38	11.869	11.869	NUM
american_scientific_journal-5938	37	39	[	[	X
american_scientific_journal-5938	37	40	9	9	NUM
american_scientific_journal-5938	37	41	]	]	PUNCT
american_scientific_journal-5938	37	42	.	.	PUNCT
american_scientific_journal-5938	38	1	liu	liu	PROPN
american_scientific_journal-5938	38	2	american	american	PROPN
american_scientific_journal-5938	38	3	scientific	scientific	PROPN
american_scientific_journal-5938	38	4	research	research	PROPN
american_scientific_journal-5938	38	5	journal	journal	NOUN
american_scientific_journal-5938	38	6	for	for	ADP
american_scientific_journal-5938	38	7	engineering	engineering	NOUN
american_scientific_journal-5938	38	8	,	,	PUNCT
american_scientific_journal-5938	38	9	technology	technology	NOUN
american_scientific_journal-5938	38	10	,	,	PUNCT
american_scientific_journal-5938	38	11	and	and	CCONJ
american_scientific_journal-5938	38	12	sciences	science	NOUN
american_scientific_journal-5938	38	13	(	(	PUNCT
american_scientific_journal-5938	38	14	asrjets	asrjet	NOUN
american_scientific_journal-5938	38	15	)	)	PUNCT
american_scientific_journal-5938	38	16	(	(	PUNCT
american_scientific_journal-5938	38	17	2020	2020	NUM
american_scientific_journal-5938	38	18	)	)	PUNCT
american_scientific_journal-5938	38	19	volume	volume	NOUN
american_scientific_journal-5938	38	20	68	68	NUM
american_scientific_journal-5938	38	21	,	,	PUNCT
american_scientific_journal-5938	38	22	no	no	DET
american_scientific_journal-5938	38	23	1	1	NUM
american_scientific_journal-5938	38	24	,	,	PUNCT
american_scientific_journal-5938	38	25	pp	pp	ADV
american_scientific_journal-5938	38	26	181	181	NUM
american_scientific_journal-5938	38	27	-	-	SYM
american_scientific_journal-5938	38	28	192	192	NUM
american_scientific_journal-5938	38	29	183	183	NUM
american_scientific_journal-5938	38	30	and	and	CCONJ
american_scientific_journal-5938	38	31	his	his	PRON
american_scientific_journal-5938	38	32	colleagues	colleague	NOUN
american_scientific_journal-5938	38	33	in	in	ADP
american_scientific_journal-5938	38	34	their	their	PRON
american_scientific_journal-5938	38	35	study	study	NOUN
american_scientific_journal-5938	38	36	,	,	PUNCT
american_scientific_journal-5938	38	37	showed	show	VERB
american_scientific_journal-5938	38	38	that	that	SCONJ
american_scientific_journal-5938	38	39	by	by	ADP
american_scientific_journal-5938	38	40	building	build	VERB
american_scientific_journal-5938	38	41	a	a	DET
american_scientific_journal-5938	38	42	six	six	NUM
american_scientific_journal-5938	38	43	-	-	PUNCT
american_scientific_journal-5938	38	44	layer	layer	NOUN
american_scientific_journal-5938	38	45	neural	neural	ADJ
american_scientific_journal-5938	38	46	network	network	NOUN
american_scientific_journal-5938	38	47	and	and	CCONJ
american_scientific_journal-5938	38	48	using	use	VERB
american_scientific_journal-5938	38	49	a	a	DET
american_scientific_journal-5938	38	50	kaggle	kaggle	ADJ
american_scientific_journal-5938	38	51	dataset	dataset	NOUN
american_scientific_journal-5938	38	52	,	,	PUNCT
american_scientific_journal-5938	38	53	they	they	PRON
american_scientific_journal-5938	38	54	could	could	AUX
american_scientific_journal-5938	38	55	achieve	achieve	VERB
american_scientific_journal-5938	38	56	maximum	maximum	ADJ
american_scientific_journal-5938	38	57	efficiency	efficiency	NOUN
american_scientific_journal-5938	38	58	of	of	ADP
american_scientific_journal-5938	38	59	0.94	0.94	NUM
american_scientific_journal-5938	38	60	%	%	NOUN
american_scientific_journal-5938	38	61	[	[	X
american_scientific_journal-5938	38	62	10	10	NUM
american_scientific_journal-5938	38	63	]	]	PUNCT
american_scientific_journal-5938	38	64	.	.	PUNCT
american_scientific_journal-5938	39	1	sarraf	sarraf	NOUN
american_scientific_journal-5938	39	2	showed	show	VERB
american_scientific_journal-5938	39	3	that	that	SCONJ
american_scientific_journal-5938	39	4	neural	neural	ADJ
american_scientific_journal-5938	39	5	networks	network	NOUN
american_scientific_journal-5938	39	6	could	could	AUX
american_scientific_journal-5938	39	7	also	also	ADV
american_scientific_journal-5938	39	8	be	be	AUX
american_scientific_journal-5938	39	9	useful	useful	ADJ
american_scientific_journal-5938	39	10	besides	besides	SCONJ
american_scientific_journal-5938	39	11	image	image	NOUN
american_scientific_journal-5938	39	12	classification	classification	NOUN
american_scientific_journal-5938	39	13	and	and	CCONJ
american_scientific_journal-5938	39	14	object	object	NOUN
american_scientific_journal-5938	39	15	detection	detection	NOUN
american_scientific_journal-5938	39	16	for	for	ADP
american_scientific_journal-5938	39	17	text	text	NOUN
american_scientific_journal-5938	39	18	recognition	recognition	NOUN
american_scientific_journal-5938	39	19	,	,	PUNCT
american_scientific_journal-5938	39	20	and	and	CCONJ
american_scientific_journal-5938	39	21	he	he	PRON
american_scientific_journal-5938	39	22	reported	report	VERB
american_scientific_journal-5938	39	23	some	some	DET
american_scientific_journal-5938	39	24	proper	proper	ADJ
american_scientific_journal-5938	39	25	results	result	NOUN
american_scientific_journal-5938	39	26	[	[	X
american_scientific_journal-5938	39	27	11	11	NUM
american_scientific_journal-5938	39	28	]	]	PUNCT
american_scientific_journal-5938	39	29	.	.	PUNCT
american_scientific_journal-5938	40	1	cengil	cengil	PROPN
american_scientific_journal-5938	40	2	and	and	CCONJ
american_scientific_journal-5938	40	3	his	his	PRON
american_scientific_journal-5938	40	4	colleagues	colleague	NOUN
american_scientific_journal-5938	40	5	conducted	conduct	VERB
american_scientific_journal-5938	40	6	a	a	DET
american_scientific_journal-5938	40	7	research	research	NOUN
american_scientific_journal-5938	40	8	study	study	NOUN
american_scientific_journal-5938	40	9	and	and	CCONJ
american_scientific_journal-5938	40	10	showed	show	VERB
american_scientific_journal-5938	40	11	in	in	ADP
american_scientific_journal-5938	40	12	their	their	PRON
american_scientific_journal-5938	40	13	paper	paper	NOUN
american_scientific_journal-5938	40	14	with	with	ADP
american_scientific_journal-5938	40	15	a	a	DET
american_scientific_journal-5938	40	16	similar	similar	ADJ
american_scientific_journal-5938	40	17	purpose	purpose	NOUN
american_scientific_journal-5938	40	18	;	;	PUNCT
american_scientific_journal-5938	40	19	an	an	DET
american_scientific_journal-5938	40	20	eightlayer	eightlay	ADJ
american_scientific_journal-5938	40	21	model	model	NOUN
american_scientific_journal-5938	40	22	was	be	AUX
american_scientific_journal-5938	40	23	designed	design	VERB
american_scientific_journal-5938	40	24	which	which	PRON
american_scientific_journal-5938	40	25	used	use	VERB
american_scientific_journal-5938	40	26	10000	10000	NUM
american_scientific_journal-5938	40	27	samples	sample	NOUN
american_scientific_journal-5938	40	28	for	for	ADP
american_scientific_journal-5938	40	29	training	training	NOUN
american_scientific_journal-5938	40	30	and	and	CCONJ
american_scientific_journal-5938	40	31	5000	5000	NUM
american_scientific_journal-5938	40	32	samples	sample	NOUN
american_scientific_journal-5938	40	33	for	for	ADP
american_scientific_journal-5938	40	34	testing	testing	NOUN
american_scientific_journal-5938	40	35	,	,	PUNCT
american_scientific_journal-5938	40	36	which	which	PRON
american_scientific_journal-5938	40	37	could	could	AUX
american_scientific_journal-5938	40	38	achieve	achieve	VERB
american_scientific_journal-5938	40	39	92.1	92.1	NUM
american_scientific_journal-5938	40	40	%	%	NOUN
american_scientific_journal-5938	41	1	[	[	X
american_scientific_journal-5938	41	2	12	12	NUM
american_scientific_journal-5938	41	3	]	]	PUNCT
american_scientific_journal-5938	41	4	.	.	PUNCT
american_scientific_journal-5938	42	1	bandhu	bandhu	PROPN
american_scientific_journal-5938	42	2	and	and	CCONJ
american_scientific_journal-5938	42	3	his	his	PRON
american_scientific_journal-5938	42	4	colleagues	colleague	NOUN
american_scientific_journal-5938	42	5	used	use	VERB
american_scientific_journal-5938	42	6	a	a	DET
american_scientific_journal-5938	42	7	dataset	dataset	NOUN
american_scientific_journal-5938	42	8	of	of	ADP
american_scientific_journal-5938	42	9	20,000	20,000	NUM
american_scientific_journal-5938	42	10	samples	sample	NOUN
american_scientific_journal-5938	42	11	of	of	ADP
american_scientific_journal-5938	42	12	dogs	dog	NOUN
american_scientific_journal-5938	42	13	and	and	CCONJ
american_scientific_journal-5938	42	14	cats	cat	NOUN
american_scientific_journal-5938	42	15	,	,	PUNCT
american_scientific_journal-5938	42	16	12,000	12,000	NUM
american_scientific_journal-5938	42	17	of	of	ADP
american_scientific_journal-5938	42	18	which	which	PRON
american_scientific_journal-5938	42	19	were	be	AUX
american_scientific_journal-5938	42	20	used	use	VERB
american_scientific_journal-5938	42	21	for	for	ADP
american_scientific_journal-5938	42	22	training	training	NOUN
american_scientific_journal-5938	42	23	and	and	CCONJ
american_scientific_journal-5938	42	24	8,000	8,000	NUM
american_scientific_journal-5938	42	25	for	for	ADP
american_scientific_journal-5938	42	26	testing	testing	NOUN
american_scientific_journal-5938	42	27	;	;	PUNCT
american_scientific_journal-5938	42	28	they	they	PRON
american_scientific_journal-5938	42	29	succeeded	succeed	VERB
american_scientific_journal-5938	42	30	in	in	ADP
american_scientific_journal-5938	42	31	developing	develop	VERB
american_scientific_journal-5938	42	32	a	a	DET
american_scientific_journal-5938	42	33	model	model	NOUN
american_scientific_journal-5938	42	34	with	with	ADP
american_scientific_journal-5938	42	35	1.0	1.0	NUM
american_scientific_journal-5938	42	36	accuracy	accuracy	NOUN
american_scientific_journal-5938	42	37	[	[	X
american_scientific_journal-5938	42	38	13	13	NUM
american_scientific_journal-5938	42	39	]	]	PUNCT
american_scientific_journal-5938	42	40	.	.	PUNCT
american_scientific_journal-5938	43	1	jajodia	jajodia	PROPN
american_scientific_journal-5938	43	2	and	and	CCONJ
american_scientific_journal-5938	43	3	his	his	PRON
american_scientific_journal-5938	43	4	colleagues	colleague	NOUN
american_scientific_journal-5938	43	5	developed	develop	VERB
american_scientific_journal-5938	43	6	a	a	DET
american_scientific_journal-5938	43	7	model	model	NOUN
american_scientific_journal-5938	43	8	with	with	ADP
american_scientific_journal-5938	43	9	90.1	90.1	NUM
american_scientific_journal-5938	43	10	%	%	NOUN
american_scientific_journal-5938	43	11	accuracy	accuracy	NOUN
american_scientific_journal-5938	43	12	with	with	ADP
american_scientific_journal-5938	43	13	using	use	VERB
american_scientific_journal-5938	43	14	8000	8000	NUM
american_scientific_journal-5938	43	15	samples	sample	NOUN
american_scientific_journal-5938	43	16	of	of	ADP
american_scientific_journal-5938	43	17	dogs	dog	NOUN
american_scientific_journal-5938	43	18	and	and	CCONJ
american_scientific_journal-5938	43	19	cats	cat	NOUN
american_scientific_journal-5938	43	20	for	for	ADP
american_scientific_journal-5938	43	21	training	training	NOUN
american_scientific_journal-5938	43	22	and	and	CCONJ
american_scientific_journal-5938	43	23	2000	2000	NUM
american_scientific_journal-5938	43	24	samples	sample	NOUN
american_scientific_journal-5938	43	25	for	for	ADP
american_scientific_journal-5938	43	26	testing	test	VERB
american_scientific_journal-5938	43	27	the	the	DET
american_scientific_journal-5938	43	28	model	model	NOUN
american_scientific_journal-5938	43	29	[	[	X
american_scientific_journal-5938	43	30	14	14	NUM
american_scientific_journal-5938	43	31	]	]	SYM
american_scientific_journal-5938	43	32	.	.	PUNCT
american_scientific_journal-5938	44	1	naidoo	naidoo	PROPN
american_scientific_journal-5938	44	2	and	and	CCONJ
american_scientific_journal-5938	44	3	his	his	PRON
american_scientific_journal-5938	44	4	colleagues	colleague	NOUN
american_scientific_journal-5938	44	5	completed	complete	VERB
american_scientific_journal-5938	44	6	a	a	DET
american_scientific_journal-5938	44	7	study	study	NOUN
american_scientific_journal-5938	44	8	using	use	VERB
american_scientific_journal-5938	44	9	cnns	cnn	NOUN
american_scientific_journal-5938	44	10	and	and	CCONJ
american_scientific_journal-5938	44	11	,	,	PUNCT
american_scientific_journal-5938	44	12	the	the	DET
american_scientific_journal-5938	44	13	objective	objective	NOUN
american_scientific_journal-5938	44	14	of	of	ADP
american_scientific_journal-5938	44	15	their	their	PRON
american_scientific_journal-5938	44	16	project	project	NOUN
american_scientific_journal-5938	44	17	was	be	AUX
american_scientific_journal-5938	44	18	similar	similar	ADJ
american_scientific_journal-5938	44	19	to	to	ADP
american_scientific_journal-5938	44	20	what	what	PRON
american_scientific_journal-5938	44	21	we	we	PRON
american_scientific_journal-5938	44	22	completed	complete	VERB
american_scientific_journal-5938	44	23	in	in	ADP
american_scientific_journal-5938	44	24	our	our	PRON
american_scientific_journal-5938	44	25	current	current	ADJ
american_scientific_journal-5938	44	26	study	study	NOUN
american_scientific_journal-5938	44	27	,	,	PUNCT
american_scientific_journal-5938	44	28	and	and	CCONJ
american_scientific_journal-5938	44	29	the	the	DET
american_scientific_journal-5938	44	30	team	team	NOUN
american_scientific_journal-5938	44	31	achieved	achieve	VERB
american_scientific_journal-5938	44	32	80	80	NUM
american_scientific_journal-5938	44	33	%	%	NOUN
american_scientific_journal-5938	44	34	accuracy	accuracy	NOUN
american_scientific_journal-5938	44	35	with	with	ADP
american_scientific_journal-5938	44	36	a	a	DET
american_scientific_journal-5938	44	37	model	model	NOUN
american_scientific_journal-5938	44	38	they	they	PRON
american_scientific_journal-5938	44	39	have	have	AUX
american_scientific_journal-5938	44	40	trained	train	VERB
american_scientific_journal-5938	44	41	[	[	PUNCT
american_scientific_journal-5938	44	42	15	15	NUM
american_scientific_journal-5938	44	43	]	]	PUNCT
american_scientific_journal-5938	44	44	.	.	PUNCT
american_scientific_journal-5938	45	1	sarraf	sarraf	NOUN
american_scientific_journal-5938	45	2	and	and	CCONJ
american_scientific_journal-5938	45	3	his	his	PRON
american_scientific_journal-5938	45	4	colleagues	colleague	NOUN
american_scientific_journal-5938	45	5	designed	design	VERB
american_scientific_journal-5938	45	6	and	and	CCONJ
american_scientific_journal-5938	45	7	developed	develop	VERB
american_scientific_journal-5938	45	8	a	a	DET
american_scientific_journal-5938	45	9	cnn	cnn	PROPN
american_scientific_journal-5938	45	10	model	model	NOUN
american_scientific_journal-5938	45	11	for	for	ADP
american_scientific_journal-5938	45	12	recognizing	recognize	VERB
american_scientific_journal-5938	45	13	hair	hair	NOUN
american_scientific_journal-5938	45	14	color	color	NOUN
american_scientific_journal-5938	45	15	,	,	PUNCT
american_scientific_journal-5938	45	16	which	which	PRON
american_scientific_journal-5938	45	17	had	have	VERB
american_scientific_journal-5938	45	18	a	a	DET
american_scientific_journal-5938	45	19	similar	similar	ADJ
american_scientific_journal-5938	45	20	structure	structure	NOUN
american_scientific_journal-5938	45	21	and	and	CCONJ
american_scientific_journal-5938	45	22	was	be	AUX
american_scientific_journal-5938	45	23	related	relate	VERB
american_scientific_journal-5938	45	24	to	to	ADP
american_scientific_journal-5938	45	25	what	what	PRON
american_scientific_journal-5938	45	26	is	be	AUX
american_scientific_journal-5938	45	27	done	do	VERB
american_scientific_journal-5938	45	28	in	in	ADP
american_scientific_journal-5938	45	29	this	this	DET
american_scientific_journal-5938	45	30	article	article	NOUN
american_scientific_journal-5938	45	31	,	,	PUNCT
american_scientific_journal-5938	45	32	and	and	CCONJ
american_scientific_journal-5938	45	33	his	his	PRON
american_scientific_journal-5938	45	34	achievement	achievement	NOUN
american_scientific_journal-5938	45	35	was	be	AUX
american_scientific_journal-5938	45	36	99	99	NUM
american_scientific_journal-5938	45	37	%	%	NOUN
american_scientific_journal-5938	45	38	accuracy	accuracy	NOUN
american_scientific_journal-5938	46	1	[	[	X
american_scientific_journal-5938	46	2	16	16	NUM
american_scientific_journal-5938	46	3	]	]	PUNCT
american_scientific_journal-5938	46	4	.	.	PUNCT
american_scientific_journal-5938	47	1	3	3	X
american_scientific_journal-5938	47	2	.	.	X
american_scientific_journal-5938	47	3	data	datum	NOUN
american_scientific_journal-5938	47	4	and	and	CCONJ
american_scientific_journal-5938	47	5	methods	method	NOUN
american_scientific_journal-5938	47	6	the	the	DET
american_scientific_journal-5938	47	7	first	first	ADJ
american_scientific_journal-5938	47	8	step	step	NOUN
american_scientific_journal-5938	47	9	of	of	ADP
american_scientific_journal-5938	47	10	our	our	PRON
american_scientific_journal-5938	47	11	deep	deep	ADJ
american_scientific_journal-5938	47	12	learning	learning	NOUN
american_scientific_journal-5938	47	13	model	model	PROPN
american_scientific_journal-5938	47	14	development	development	PROPN
american_scientific_journal-5938	47	15	pipeline	pipeline	PROPN
american_scientific_journal-5938	47	16	was	be	AUX
american_scientific_journal-5938	47	17	to	to	PART
american_scientific_journal-5938	47	18	select	select	VERB
american_scientific_journal-5938	47	19	a	a	DET
american_scientific_journal-5938	47	20	dataset	dataset	NOUN
american_scientific_journal-5938	47	21	addressing	address	VERB
american_scientific_journal-5938	47	22	the	the	DET
american_scientific_journal-5938	47	23	target	target	NOUN
american_scientific_journal-5938	47	24	of	of	ADP
american_scientific_journal-5938	47	25	our	our	PRON
american_scientific_journal-5938	47	26	study	study	NOUN
american_scientific_journal-5938	47	27	.	.	PUNCT
american_scientific_journal-5938	48	1	as	as	SCONJ
american_scientific_journal-5938	48	2	it	it	PRON
american_scientific_journal-5938	48	3	is	be	AUX
american_scientific_journal-5938	48	4	known	know	VERB
american_scientific_journal-5938	48	5	,	,	PUNCT
american_scientific_journal-5938	48	6	two	two	NUM
american_scientific_journal-5938	48	7	datasets	dataset	NOUN
american_scientific_journal-5938	48	8	are	be	AUX
american_scientific_journal-5938	48	9	required	require	VERB
american_scientific_journal-5938	48	10	for	for	ADP
american_scientific_journal-5938	48	11	training	training	NOUN
american_scientific_journal-5938	48	12	and	and	CCONJ
american_scientific_journal-5938	48	13	testing	testing	NOUN
american_scientific_journal-5938	48	14	steps	step	NOUN
american_scientific_journal-5938	48	15	to	to	PART
american_scientific_journal-5938	48	16	perform	perform	VERB
american_scientific_journal-5938	48	17	.	.	PUNCT
american_scientific_journal-5938	49	1	therefore	therefore	ADV
american_scientific_journal-5938	49	2	,	,	PUNCT
american_scientific_journal-5938	49	3	to	to	PART
american_scientific_journal-5938	49	4	address	address	VERB
american_scientific_journal-5938	49	5	this	this	DET
american_scientific_journal-5938	49	6	requirement	requirement	NOUN
american_scientific_journal-5938	49	7	to	to	PART
american_scientific_journal-5938	49	8	build	build	VERB
american_scientific_journal-5938	49	9	the	the	DET
american_scientific_journal-5938	49	10	models	model	NOUN
american_scientific_journal-5938	49	11	with	with	ADP
american_scientific_journal-5938	49	12	the	the	DET
american_scientific_journal-5938	49	13	highest	high	ADJ
american_scientific_journal-5938	49	14	efficiency	efficiency	NOUN
american_scientific_journal-5938	49	15	,	,	PUNCT
american_scientific_journal-5938	49	16	and	and	CCONJ
american_scientific_journal-5938	49	17	eventually	eventually	ADV
american_scientific_journal-5938	49	18	,	,	PUNCT
american_scientific_journal-5938	49	19	to	to	PART
american_scientific_journal-5938	49	20	test	test	VERB
american_scientific_journal-5938	49	21	and	and	CCONJ
american_scientific_journal-5938	49	22	evaluate	evaluate	VERB
american_scientific_journal-5938	49	23	the	the	DET
american_scientific_journal-5938	49	24	models	model	NOUN
american_scientific_journal-5938	49	25	,	,	PUNCT
american_scientific_journal-5938	49	26	a	a	DET
american_scientific_journal-5938	49	27	large	large	ADJ
american_scientific_journal-5938	49	28	number	number	NOUN
american_scientific_journal-5938	49	29	of	of	ADP
american_scientific_journal-5938	49	30	different	different	ADJ
american_scientific_journal-5938	49	31	images	image	NOUN
american_scientific_journal-5938	49	32	with	with	ADP
american_scientific_journal-5938	49	33	specified	specified	ADJ
american_scientific_journal-5938	49	34	labels	label	NOUN
american_scientific_journal-5938	49	35	were	be	AUX
american_scientific_journal-5938	49	36	required	require	VERB
american_scientific_journal-5938	49	37	to	to	PART
american_scientific_journal-5938	49	38	identify	identify	VERB
american_scientific_journal-5938	49	39	the	the	DET
american_scientific_journal-5938	49	40	picture	picture	NOUN
american_scientific_journal-5938	49	41	belongs	belong	VERB
american_scientific_journal-5938	49	42	to	to	PART
american_scientific_journal-5938	49	43	which	which	DET
american_scientific_journal-5938	49	44	class	class	NOUN
american_scientific_journal-5938	49	45	(	(	PUNCT
american_scientific_journal-5938	49	46	dog	dog	NOUN
american_scientific_journal-5938	49	47	or	or	CCONJ
american_scientific_journal-5938	49	48	cat	cat	NOUN
american_scientific_journal-5938	49	49	)	)	PUNCT
american_scientific_journal-5938	49	50	.	.	PUNCT
american_scientific_journal-5938	50	1	3.1	3.1	NUM
american_scientific_journal-5938	50	2	.	.	PUNCT
american_scientific_journal-5938	50	3	data	datum	NOUN
american_scientific_journal-5938	50	4	preparation	preparation	NOUN
american_scientific_journal-5938	50	5	the	the	DET
american_scientific_journal-5938	50	6	best	good	ADJ
american_scientific_journal-5938	50	7	way	way	NOUN
american_scientific_journal-5938	50	8	to	to	PART
american_scientific_journal-5938	50	9	provide	provide	VERB
american_scientific_journal-5938	50	10	the	the	DET
american_scientific_journal-5938	50	11	required	require	VERB
american_scientific_journal-5938	50	12	datasets	dataset	NOUN
american_scientific_journal-5938	50	13	was	be	AUX
american_scientific_journal-5938	50	14	to	to	PART
american_scientific_journal-5938	50	15	use	use	VERB
american_scientific_journal-5938	50	16	data	datum	NOUN
american_scientific_journal-5938	50	17	publicly	publicly	ADV
american_scientific_journal-5938	50	18	available	available	ADJ
american_scientific_journal-5938	50	19	.	.	PUNCT
american_scientific_journal-5938	51	1	„	„	PUNCT
american_scientific_journal-5938	51	2	kaggle‟	kaggle‟	NOUN
american_scientific_journal-5938	51	3	offers	offer	VERB
american_scientific_journal-5938	51	4	a	a	DET
american_scientific_journal-5938	51	5	vast	vast	ADJ
american_scientific_journal-5938	51	6	number	number	NOUN
american_scientific_journal-5938	51	7	of	of	ADP
american_scientific_journal-5938	51	8	datasets	dataset	NOUN
american_scientific_journal-5938	51	9	that	that	PRON
american_scientific_journal-5938	51	10	are	be	AUX
american_scientific_journal-5938	51	11	allowed	allow	VERB
american_scientific_journal-5938	51	12	to	to	PART
american_scientific_journal-5938	51	13	be	be	AUX
american_scientific_journal-5938	51	14	used	use	VERB
american_scientific_journal-5938	51	15	for	for	ADP
american_scientific_journal-5938	51	16	research	research	NOUN
american_scientific_journal-5938	51	17	purposes	purpose	NOUN
american_scientific_journal-5938	51	18	.	.	PUNCT
american_scientific_journal-5938	52	1	it	it	PRON
american_scientific_journal-5938	52	2	is	be	AUX
american_scientific_journal-5938	52	3	clear	clear	ADJ
american_scientific_journal-5938	52	4	that	that	SCONJ
american_scientific_journal-5938	52	5	the	the	DET
american_scientific_journal-5938	52	6	more	more	ADJ
american_scientific_journal-5938	52	7	variety	variety	NOUN
american_scientific_journal-5938	52	8	and	and	CCONJ
american_scientific_journal-5938	52	9	number	number	NOUN
american_scientific_journal-5938	52	10	of	of	ADP
american_scientific_journal-5938	52	11	samples	sample	NOUN
american_scientific_journal-5938	52	12	exist	exist	VERB
american_scientific_journal-5938	52	13	,	,	PUNCT
american_scientific_journal-5938	52	14	the	the	PRON
american_scientific_journal-5938	52	15	better	well	ADJ
american_scientific_journal-5938	52	16	the	the	DET
american_scientific_journal-5938	52	17	training	training	NOUN
american_scientific_journal-5938	52	18	and	and	CCONJ
american_scientific_journal-5938	52	19	the	the	PRON
american_scientific_journal-5938	52	20	higher	high	ADJ
american_scientific_journal-5938	52	21	the	the	DET
american_scientific_journal-5938	52	22	accuracy	accuracy	NOUN
american_scientific_journal-5938	52	23	could	could	AUX
american_scientific_journal-5938	52	24	be	be	AUX
american_scientific_journal-5938	52	25	.	.	PUNCT
american_scientific_journal-5938	53	1	searching	search	VERB
american_scientific_journal-5938	53	2	for	for	ADP
american_scientific_journal-5938	53	3	„	„	PUNCT
american_scientific_journal-5938	53	4	dogs	dog	NOUN
american_scientific_journal-5938	53	5	vs.	vs.	ADP
american_scientific_journal-5938	53	6	cats‟	cats‟	ADJ
american_scientific_journal-5938	53	7	in	in	ADP
american_scientific_journal-5938	53	8	kaggle	kaggle	NOUN
american_scientific_journal-5938	53	9	showed	show	VERB
american_scientific_journal-5938	53	10	that	that	SCONJ
american_scientific_journal-5938	53	11	several	several	ADJ
american_scientific_journal-5938	53	12	datasets	dataset	NOUN
american_scientific_journal-5938	53	13	exist	exist	VERB
american_scientific_journal-5938	53	14	.	.	PUNCT
american_scientific_journal-5938	54	1	the	the	DET
american_scientific_journal-5938	54	2	metadata	metadata	NOUN
american_scientific_journal-5938	54	3	,	,	PUNCT
american_scientific_journal-5938	54	4	including	include	VERB
american_scientific_journal-5938	54	5	several	several	ADJ
american_scientific_journal-5938	54	6	samples	sample	NOUN
american_scientific_journal-5938	54	7	for	for	ADP
american_scientific_journal-5938	54	8	various	various	ADJ
american_scientific_journal-5938	54	9	datasets	dataset	NOUN
american_scientific_journal-5938	54	10	,	,	PUNCT
american_scientific_journal-5938	54	11	were	be	AUX
american_scientific_journal-5938	54	12	explored	explore	VERB
american_scientific_journal-5938	54	13	,	,	PUNCT
american_scientific_journal-5938	54	14	and	and	CCONJ
american_scientific_journal-5938	54	15	we	we	PRON
american_scientific_journal-5938	54	16	found	find	VERB
american_scientific_journal-5938	54	17	that	that	SCONJ
american_scientific_journal-5938	54	18	the	the	DET
american_scientific_journal-5938	54	19	best	good	ADJ
american_scientific_journal-5938	54	20	dataset	dataset	NOUN
american_scientific_journal-5938	54	21	is	be	AUX
american_scientific_journal-5938	54	22	the	the	DET
american_scientific_journal-5938	54	23	one	one	NOUN
american_scientific_journal-5938	54	24	that	that	PRON
american_scientific_journal-5938	54	25	contains	contain	VERB
american_scientific_journal-5938	54	26	25000	25000	NUM
american_scientific_journal-5938	54	27	samples	sample	NOUN
american_scientific_journal-5938	54	28	(	(	PUNCT
american_scientific_journal-5938	54	29	12500	12500	NUM
american_scientific_journal-5938	54	30	for	for	ADP
american_scientific_journal-5938	54	31	dogs	dog	NOUN
american_scientific_journal-5938	54	32	/	/	SYM
american_scientific_journal-5938	54	33	cats	cat	NOUN
american_scientific_journal-5938	54	34	)	)	PUNCT
american_scientific_journal-5938	54	35	with	with	ADP
american_scientific_journal-5938	54	36	tagged	tag	VERB
american_scientific_journal-5938	54	37	labels	label	NOUN
american_scientific_journal-5938	54	38	.	.	PUNCT
american_scientific_journal-5938	55	1	3.2	3.2	NUM
american_scientific_journal-5938	55	2	.	.	PUNCT
american_scientific_journal-5938	56	1	data	datum	NOUN
american_scientific_journal-5938	56	2	normalization	normalization	NOUN
american_scientific_journal-5938	56	3	the	the	DET
american_scientific_journal-5938	56	4	metadata	metadata	NOUN
american_scientific_journal-5938	56	5	of	of	ADP
american_scientific_journal-5938	56	6	this	this	DET
american_scientific_journal-5938	56	7	dataset	dataset	NOUN
american_scientific_journal-5938	56	8	showed	show	VERB
american_scientific_journal-5938	56	9	that	that	SCONJ
american_scientific_journal-5938	56	10	they	they	PRON
american_scientific_journal-5938	56	11	had	have	VERB
american_scientific_journal-5938	56	12	different	different	ADJ
american_scientific_journal-5938	56	13	sizes	size	NOUN
american_scientific_journal-5938	56	14	,	,	PUNCT
american_scientific_journal-5938	56	15	colors	color	NOUN
american_scientific_journal-5938	56	16	,	,	PUNCT
american_scientific_journal-5938	56	17	and	and	CCONJ
american_scientific_journal-5938	56	18	measures	measure	NOUN
american_scientific_journal-5938	56	19	.	.	PUNCT
american_scientific_journal-5938	57	1	such	such	ADJ
american_scientific_journal-5938	57	2	data	datum	NOUN
american_scientific_journal-5938	57	3	were	be	AUX
american_scientific_journal-5938	57	4	unable	unable	ADJ
american_scientific_journal-5938	57	5	directly	directly	ADV
american_scientific_journal-5938	57	6	used	use	VERB
american_scientific_journal-5938	57	7	for	for	ADP
american_scientific_journal-5938	57	8	machine	machine	NOUN
american_scientific_journal-5938	57	9	learning	learning	NOUN
american_scientific_journal-5938	57	10	model	model	NOUN
american_scientific_journal-5938	57	11	development	development	NOUN
american_scientific_journal-5938	57	12	and	and	CCONJ
american_scientific_journal-5938	57	13	fed	feed	VERB
american_scientific_journal-5938	57	14	into	into	ADP
american_scientific_journal-5938	57	15	our	our	PRON
american_scientific_journal-5938	57	16	convolutional	convolutional	ADJ
american_scientific_journal-5938	57	17	neural	neural	ADJ
american_scientific_journal-5938	57	18	network	network	NOUN
american_scientific_journal-5938	57	19	models	model	NOUN
american_scientific_journal-5938	57	20	that	that	PRON
american_scientific_journal-5938	57	21	had	have	AUX
american_scientific_journal-5938	57	22	been	be	AUX
american_scientific_journal-5938	57	23	designed	design	VERB
american_scientific_journal-5938	57	24	;	;	PUNCT
american_scientific_journal-5938	57	25	therefore	therefore	ADV
american_scientific_journal-5938	57	26	,	,	PUNCT
american_scientific_journal-5938	57	27	the	the	DET
american_scientific_journal-5938	57	28	data	datum	NOUN
american_scientific_journal-5938	57	29	required	require	VERB
american_scientific_journal-5938	57	30	preprocessing	preprocessing	NOUN
american_scientific_journal-5938	57	31	steps	step	NOUN
american_scientific_journal-5938	57	32	.	.	PUNCT
american_scientific_journal-5938	58	1	in	in	ADP
american_scientific_journal-5938	58	2	this	this	DET
american_scientific_journal-5938	58	3	study	study	NOUN
american_scientific_journal-5938	58	4	,	,	PUNCT
american_scientific_journal-5938	58	5	the	the	DET
american_scientific_journal-5938	58	6	cnn	cnn	PROPN
american_scientific_journal-5938	58	7	models	model	NOUN
american_scientific_journal-5938	58	8	were	be	AUX
american_scientific_journal-5938	58	9	designed	design	VERB
american_scientific_journal-5938	58	10	based	base	VERB
american_scientific_journal-5938	58	11	on	on	ADP
american_scientific_journal-5938	58	12	two	two	NUM
american_scientific_journal-5938	58	13	categories	category	NOUN
american_scientific_journal-5938	58	14	:	:	PUNCT
american_scientific_journal-5938	58	15	the	the	DET
american_scientific_journal-5938	58	16	models	model	NOUN
american_scientific_journal-5938	58	17	that	that	PRON
american_scientific_journal-5938	58	18	process	process	NOUN
american_scientific_journal-5938	58	19	inputs	input	VERB
american_scientific_journal-5938	58	20	size	size	NOUN
american_scientific_journal-5938	58	21	of	of	ADP
american_scientific_journal-5938	58	22	32	32	NUM
american_scientific_journal-5938	58	23	*	*	SYM
american_scientific_journal-5938	58	24	32	32	NUM
american_scientific_journal-5938	58	25	and	and	CCONJ
american_scientific_journal-5938	58	26	models	model	NOUN
american_scientific_journal-5938	58	27	with	with	ADP
american_scientific_journal-5938	58	28	the	the	DET
american_scientific_journal-5938	58	29	input	input	NOUN
american_scientific_journal-5938	58	30	size	size	NOUN
american_scientific_journal-5938	58	31	of	of	ADP
american_scientific_journal-5938	58	32	64	64	NUM
american_scientific_journal-5938	58	33	*	*	SYM
american_scientific_journal-5938	58	34	64	64	NUM
american_scientific_journal-5938	58	35	.	.	PUNCT
american_scientific_journal-5938	59	1	in	in	ADP
american_scientific_journal-5938	59	2	the	the	DET
american_scientific_journal-5938	59	3	preprocessing	preprocessing	NOUN
american_scientific_journal-5938	59	4	steps	step	NOUN
american_scientific_journal-5938	59	5	,	,	PUNCT
american_scientific_journal-5938	59	6	we	we	PRON
american_scientific_journal-5938	59	7	converted	convert	VERB
american_scientific_journal-5938	59	8	25,000	25,000	NUM
american_scientific_journal-5938	59	9	samples	sample	NOUN
american_scientific_journal-5938	59	10	once	once	ADV
american_scientific_journal-5938	59	11	to	to	ADP
american_scientific_journal-5938	59	12	32	32	NUM
american_scientific_journal-5938	59	13	*	*	SYM
american_scientific_journal-5938	59	14	32	32	NUM
american_scientific_journal-5938	59	15	images	image	NOUN
american_scientific_journal-5938	59	16	and	and	CCONJ
american_scientific_journal-5938	59	17	next	next	ADJ
american_scientific_journal-5938	59	18	to	to	ADP
american_scientific_journal-5938	59	19	64	64	NUM
american_scientific_journal-5938	59	20	*	*	SYM
american_scientific_journal-5938	59	21	64	64	NUM
american_scientific_journal-5938	59	22	.	.	PUNCT
american_scientific_journal-5938	60	1	then	then	ADV
american_scientific_journal-5938	60	2	,	,	PUNCT
american_scientific_journal-5938	60	3	the	the	DET
american_scientific_journal-5938	60	4	images	image	NOUN
american_scientific_journal-5938	60	5	stored	store	VERB
american_scientific_journal-5938	60	6	in	in	ADP
american_scientific_journal-5938	60	7	the	the	DET
american_scientific_journal-5938	60	8	repository	repository	NOUN
american_scientific_journal-5938	60	9	were	be	AUX
american_scientific_journal-5938	60	10	loaded	load	VERB
american_scientific_journal-5938	60	11	into	into	ADP
american_scientific_journal-5938	60	12	the	the	DET
american_scientific_journal-5938	60	13	memory	memory	NOUN
american_scientific_journal-5938	60	14	and	and	CCONJ
american_scientific_journal-5938	60	15	vectorized	vectorize	VERB
american_scientific_journal-5938	60	16	,	,	PUNCT
american_scientific_journal-5938	60	17	and	and	CCONJ
american_scientific_journal-5938	60	18	the	the	DET
american_scientific_journal-5938	60	19	results	result	NOUN
american_scientific_journal-5938	60	20	were	be	AUX
american_scientific_journal-5938	60	21	saved	save	VERB
american_scientific_journal-5938	60	22	using	use	VERB
american_scientific_journal-5938	60	23	the	the	DET
american_scientific_journal-5938	60	24	numpy	numpy	NOUN
american_scientific_journal-5938	60	25	python	python	NOUN
american_scientific_journal-5938	60	26	package	package	NOUN
american_scientific_journal-5938	60	27	with	with	ADP
american_scientific_journal-5938	60	28	“	"	PUNCT
american_scientific_journal-5938	60	29	npy	npy	PROPN
american_scientific_journal-5938	60	30	”	"	PUNCT
american_scientific_journal-5938	60	31	extensions	extension	NOUN
american_scientific_journal-5938	60	32	.	.	PUNCT
american_scientific_journal-5938	61	1	the	the	DET
american_scientific_journal-5938	61	2	format	format	NOUN
american_scientific_journal-5938	61	3	of	of	ADP
american_scientific_journal-5938	61	4	data	datum	NOUN
american_scientific_journal-5938	61	5	was	be	AUX
american_scientific_journal-5938	61	6	required	require	VERB
american_scientific_journal-5938	61	7	to	to	PART
american_scientific_journal-5938	61	8	be	be	AUX
american_scientific_journal-5938	61	9	in	in	ADP
american_scientific_journal-5938	61	10	png	png	PROPN
american_scientific_journal-5938	61	11	for	for	ADP
american_scientific_journal-5938	61	12	a	a	DET
american_scientific_journal-5938	61	13	deep	deep	ADJ
american_scientific_journal-5938	61	14	learning	learning	NOUN
american_scientific_journal-5938	61	15	pipeline	pipeline	NOUN
american_scientific_journal-5938	61	16	enabling	enable	VERB
american_scientific_journal-5938	61	17	our	our	PRON
american_scientific_journal-5938	61	18	framework	framework	NOUN
american_scientific_journal-5938	61	19	to	to	PART
american_scientific_journal-5938	61	20	read	read	VERB
american_scientific_journal-5938	61	21	the	the	DET
american_scientific_journal-5938	61	22	data	datum	NOUN
american_scientific_journal-5938	61	23	and	and	CCONJ
american_scientific_journal-5938	61	24	pass	pass	VERB
american_scientific_journal-5938	61	25	them	they	PRON
american_scientific_journal-5938	61	26	to	to	ADP
american_scientific_journal-5938	61	27	the	the	DET
american_scientific_journal-5938	61	28	cnn	cnn	PROPN
american_scientific_journal-5938	61	29	layers	layer	NOUN
american_scientific_journal-5938	61	30	and	and	CCONJ
american_scientific_journal-5938	61	31	american	american	ADJ
american_scientific_journal-5938	61	32	scientific	scientific	ADJ
american_scientific_journal-5938	61	33	research	research	NOUN
american_scientific_journal-5938	61	34	journal	journal	NOUN
american_scientific_journal-5938	61	35	for	for	ADP
american_scientific_journal-5938	61	36	engineering	engineering	NOUN
american_scientific_journal-5938	61	37	,	,	PUNCT
american_scientific_journal-5938	61	38	technology	technology	NOUN
american_scientific_journal-5938	61	39	,	,	PUNCT
american_scientific_journal-5938	61	40	and	and	CCONJ
american_scientific_journal-5938	61	41	sciences	science	NOUN
american_scientific_journal-5938	61	42	(	(	PUNCT
american_scientific_journal-5938	61	43	asrjets	asrjet	NOUN
american_scientific_journal-5938	61	44	)	)	PUNCT
american_scientific_journal-5938	61	45	(	(	PUNCT
american_scientific_journal-5938	61	46	2020	2020	NUM
american_scientific_journal-5938	61	47	)	)	PUNCT
american_scientific_journal-5938	61	48	volume	volume	NOUN
american_scientific_journal-5938	61	49	68	68	NUM
american_scientific_journal-5938	61	50	,	,	PUNCT
american_scientific_journal-5938	61	51	no	no	DET
american_scientific_journal-5938	61	52	1	1	NUM
american_scientific_journal-5938	61	53	,	,	PUNCT
american_scientific_journal-5938	61	54	pp	pp	ADV
american_scientific_journal-5938	61	55	181	181	NUM
american_scientific_journal-5938	61	56	-	-	SYM
american_scientific_journal-5938	61	57	192	192	NUM
american_scientific_journal-5938	61	58	184	184	NUM
american_scientific_journal-5938	61	59	networks	network	NOUN
american_scientific_journal-5938	61	60	.	.	PUNCT
american_scientific_journal-5938	62	1	if	if	SCONJ
american_scientific_journal-5938	62	2	such	such	ADJ
american_scientific_journal-5938	62	3	data	data	NOUN
american_scientific_journal-5938	62	4	conversion	conversion	NOUN
american_scientific_journal-5938	62	5	were	be	AUX
american_scientific_journal-5938	62	6	not	not	PART
american_scientific_journal-5938	62	7	performed	perform	VERB
american_scientific_journal-5938	62	8	,	,	PUNCT
american_scientific_journal-5938	62	9	the	the	DET
american_scientific_journal-5938	62	10	cnn	cnn	PROPN
american_scientific_journal-5938	62	11	models	model	NOUN
american_scientific_journal-5938	62	12	would	would	AUX
american_scientific_journal-5938	62	13	crop	crop	VERB
american_scientific_journal-5938	62	14	the	the	DET
american_scientific_journal-5938	62	15	input	input	NOUN
american_scientific_journal-5938	62	16	images	image	NOUN
american_scientific_journal-5938	62	17	so	so	SCONJ
american_scientific_journal-5938	62	18	that	that	SCONJ
american_scientific_journal-5938	62	19	the	the	DET
american_scientific_journal-5938	62	20	models	model	NOUN
american_scientific_journal-5938	62	21	would	would	AUX
american_scientific_journal-5938	62	22	result	result	VERB
american_scientific_journal-5938	62	23	in	in	ADP
american_scientific_journal-5938	62	24	very	very	ADV
american_scientific_journal-5938	62	25	high	high	ADJ
american_scientific_journal-5938	62	26	loss	loss	NOUN
american_scientific_journal-5938	62	27	values	value	NOUN
american_scientific_journal-5938	62	28	in	in	ADP
american_scientific_journal-5938	62	29	the	the	DET
american_scientific_journal-5938	62	30	training	training	NOUN
american_scientific_journal-5938	62	31	step	step	NOUN
american_scientific_journal-5938	62	32	and	and	CCONJ
american_scientific_journal-5938	62	33	also	also	ADV
american_scientific_journal-5938	62	34	a	a	DET
american_scientific_journal-5938	62	35	very	very	ADV
american_scientific_journal-5938	62	36	low	low	ADJ
american_scientific_journal-5938	62	37	accuracy	accuracy	NOUN
american_scientific_journal-5938	62	38	.	.	PUNCT
american_scientific_journal-5938	63	1	the	the	DET
american_scientific_journal-5938	63	2	reason	reason	NOUN
american_scientific_journal-5938	63	3	behind	behind	ADP
american_scientific_journal-5938	63	4	that	that	PRON
american_scientific_journal-5938	63	5	is	be	AUX
american_scientific_journal-5938	63	6	a	a	DET
american_scientific_journal-5938	63	7	significant	significant	ADJ
american_scientific_journal-5938	63	8	amount	amount	NOUN
american_scientific_journal-5938	63	9	of	of	ADP
american_scientific_journal-5938	63	10	information	information	NOUN
american_scientific_journal-5938	63	11	would	would	AUX
american_scientific_journal-5938	63	12	be	be	AUX
american_scientific_journal-5938	63	13	removed	remove	VERB
american_scientific_journal-5938	63	14	by	by	ADP
american_scientific_journal-5938	63	15	cropping	crop	VERB
american_scientific_journal-5938	63	16	the	the	DET
american_scientific_journal-5938	63	17	images	image	NOUN
american_scientific_journal-5938	63	18	by	by	ADP
american_scientific_journal-5938	63	19	then	then	ADV
american_scientific_journal-5938	63	20	networks	network	NOUN
american_scientific_journal-5938	63	21	if	if	SCONJ
american_scientific_journal-5938	63	22	the	the	DET
american_scientific_journal-5938	63	23	original	original	ADJ
american_scientific_journal-5938	63	24	image	image	NOUN
american_scientific_journal-5938	63	25	size	size	NOUN
american_scientific_journal-5938	63	26	was	be	AUX
american_scientific_journal-5938	63	27	used	use	VERB
american_scientific_journal-5938	63	28	.	.	PUNCT
american_scientific_journal-5938	64	1	it	it	PRON
american_scientific_journal-5938	64	2	should	should	AUX
american_scientific_journal-5938	64	3	also	also	ADV
american_scientific_journal-5938	64	4	be	be	AUX
american_scientific_journal-5938	64	5	considered	consider	VERB
american_scientific_journal-5938	64	6	that	that	SCONJ
american_scientific_journal-5938	64	7	each	each	DET
american_scientific_journal-5938	64	8	sample	sample	NOUN
american_scientific_journal-5938	64	9	has	have	VERB
american_scientific_journal-5938	64	10	a	a	DET
american_scientific_journal-5938	64	11	value	value	NOUN
american_scientific_journal-5938	64	12	between	between	ADP
american_scientific_journal-5938	64	13	0	0	NUM
american_scientific_journal-5938	64	14	255	255	NUM
american_scientific_journal-5938	64	15	.	.	PUNCT
american_scientific_journal-5938	65	1	for	for	ADP
american_scientific_journal-5938	65	2	the	the	DET
american_scientific_journal-5938	65	3	sake	sake	NOUN
american_scientific_journal-5938	65	4	of	of	ADP
american_scientific_journal-5938	65	5	model	model	NOUN
american_scientific_journal-5938	65	6	development	development	NOUN
american_scientific_journal-5938	65	7	,	,	PUNCT
american_scientific_journal-5938	65	8	images	image	NOUN
american_scientific_journal-5938	65	9	were	be	AUX
american_scientific_journal-5938	65	10	normalized	normalize	VERB
american_scientific_journal-5938	65	11	to	to	ADP
american_scientific_journal-5938	65	12	a	a	DET
american_scientific_journal-5938	65	13	range	range	NOUN
american_scientific_journal-5938	65	14	of	of	ADP
american_scientific_journal-5938	65	15	[	[	X
american_scientific_journal-5938	65	16	0,1	0,1	NUM
american_scientific_journal-5938	65	17	]	]	PUNCT
american_scientific_journal-5938	65	18	to	to	PART
american_scientific_journal-5938	65	19	achieve	achieve	VERB
american_scientific_journal-5938	65	20	the	the	DET
american_scientific_journal-5938	65	21	highest	high	ADJ
american_scientific_journal-5938	65	22	performance	performance	NOUN
american_scientific_journal-5938	65	23	.	.	PUNCT
american_scientific_journal-5938	66	1	to	to	PART
american_scientific_journal-5938	66	2	avoid	avoid	VERB
american_scientific_journal-5938	66	3	data	data	NOUN
american_scientific_journal-5938	66	4	generation	generation	NOUN
american_scientific_journal-5938	66	5	repeatedly	repeatedly	ADV
american_scientific_journal-5938	66	6	,	,	PUNCT
american_scientific_journal-5938	66	7	two	two	NUM
american_scientific_journal-5938	66	8	normalized	normalize	VERB
american_scientific_journal-5938	66	9	datasets	dataset	NOUN
american_scientific_journal-5938	66	10	of	of	ADP
american_scientific_journal-5938	66	11	32	32	NUM
american_scientific_journal-5938	66	12	*	*	SYM
american_scientific_journal-5938	66	13	32	32	NUM
american_scientific_journal-5938	66	14	and	and	CCONJ
american_scientific_journal-5938	66	15	64	64	NUM
american_scientific_journal-5938	66	16	*	*	NUM
american_scientific_journal-5938	66	17	64	64	NUM
american_scientific_journal-5938	66	18	for	for	ADP
american_scientific_journal-5938	66	19	training	train	VERB
american_scientific_journal-5938	66	20	the	the	DET
american_scientific_journal-5938	66	21	cnn	cnn	PROPN
american_scientific_journal-5938	66	22	models	model	NOUN
american_scientific_journal-5938	66	23	with	with	ADP
american_scientific_journal-5938	66	24	the	the	DET
american_scientific_journal-5938	66	25	“	"	PUNCT
american_scientific_journal-5938	66	26	npy	npy	PROPN
american_scientific_journal-5938	66	27	”	"	PUNCT
american_scientific_journal-5938	66	28	extension	extension	NOUN
american_scientific_journal-5938	66	29	were	be	AUX
american_scientific_journal-5938	66	30	created	create	VERB
american_scientific_journal-5938	66	31	and	and	CCONJ
american_scientific_journal-5938	66	32	stored	store	VERB
american_scientific_journal-5938	66	33	.	.	PUNCT
american_scientific_journal-5938	67	1	after	after	SCONJ
american_scientific_journal-5938	67	2	the	the	DET
american_scientific_journal-5938	67	3	models	model	NOUN
american_scientific_journal-5938	67	4	were	be	AUX
american_scientific_journal-5938	67	5	trained	train	VERB
american_scientific_journal-5938	67	6	,	,	PUNCT
american_scientific_journal-5938	67	7	a	a	DET
american_scientific_journal-5938	67	8	set	set	NOUN
american_scientific_journal-5938	67	9	of	of	ADP
american_scientific_journal-5938	67	10	samples	sample	NOUN
american_scientific_journal-5938	67	11	was	be	AUX
american_scientific_journal-5938	67	12	required	require	VERB
american_scientific_journal-5938	67	13	to	to	PART
american_scientific_journal-5938	67	14	test	test	VERB
american_scientific_journal-5938	67	15	the	the	DET
american_scientific_journal-5938	67	16	models	model	NOUN
american_scientific_journal-5938	67	17	and	and	CCONJ
american_scientific_journal-5938	67	18	measure	measure	VERB
american_scientific_journal-5938	67	19	the	the	DET
american_scientific_journal-5938	67	20	performance	performance	NOUN
american_scientific_journal-5938	67	21	of	of	ADP
american_scientific_journal-5938	67	22	classification	classification	NOUN
american_scientific_journal-5938	67	23	,	,	PUNCT
american_scientific_journal-5938	67	24	including	include	VERB
american_scientific_journal-5938	67	25	accuracy	accuracy	NOUN
american_scientific_journal-5938	67	26	rates	rate	NOUN
american_scientific_journal-5938	67	27	[	[	X
american_scientific_journal-5938	67	28	17	17	NUM
american_scientific_journal-5938	67	29	]	]	PUNCT
american_scientific_journal-5938	67	30	.	.	PUNCT
american_scientific_journal-5938	68	1	it	it	PRON
american_scientific_journal-5938	68	2	should	should	AUX
american_scientific_journal-5938	68	3	be	be	AUX
american_scientific_journal-5938	68	4	noted	note	VERB
american_scientific_journal-5938	68	5	that	that	SCONJ
american_scientific_journal-5938	68	6	:	:	PUNCT
american_scientific_journal-5938	68	7	1test	1test	NUM
american_scientific_journal-5938	68	8	data	data	NOUN
american_scientific_journal-5938	68	9	samples	sample	NOUN
american_scientific_journal-5938	68	10	should	should	AUX
american_scientific_journal-5938	68	11	also	also	ADV
american_scientific_journal-5938	68	12	have	have	VERB
american_scientific_journal-5938	68	13	labels	label	NOUN
american_scientific_journal-5938	68	14	so	so	SCONJ
american_scientific_journal-5938	68	15	that	that	SCONJ
american_scientific_journal-5938	68	16	when	when	SCONJ
american_scientific_journal-5938	68	17	they	they	PRON
american_scientific_journal-5938	68	18	are	be	AUX
american_scientific_journal-5938	68	19	predicted	predict	VERB
american_scientific_journal-5938	68	20	by	by	ADP
american_scientific_journal-5938	68	21	the	the	DET
american_scientific_journal-5938	68	22	models	model	NOUN
american_scientific_journal-5938	68	23	,	,	PUNCT
american_scientific_journal-5938	68	24	their	their	PRON
american_scientific_journal-5938	68	25	labels	label	NOUN
american_scientific_journal-5938	68	26	determine	determine	VERB
american_scientific_journal-5938	68	27	whether	whether	SCONJ
american_scientific_journal-5938	68	28	or	or	CCONJ
american_scientific_journal-5938	68	29	not	not	PART
american_scientific_journal-5938	68	30	the	the	DET
american_scientific_journal-5938	68	31	prediction	prediction	NOUN
american_scientific_journal-5938	68	32	is	be	AUX
american_scientific_journal-5938	68	33	correct	correct	ADJ
american_scientific_journal-5938	68	34	;	;	PUNCT
american_scientific_journal-5938	68	35	otherwise	otherwise	ADV
american_scientific_journal-5938	68	36	,	,	PUNCT
american_scientific_journal-5938	68	37	the	the	DET
american_scientific_journal-5938	68	38	labeling	labeling	NOUN
american_scientific_journal-5938	68	39	should	should	AUX
american_scientific_journal-5938	68	40	be	be	AUX
american_scientific_journal-5938	68	41	done	do	VERB
american_scientific_journal-5938	68	42	manually	manually	ADV
american_scientific_journal-5938	68	43	.	.	PUNCT
american_scientific_journal-5938	69	1	2the	2the	NUM
american_scientific_journal-5938	69	2	samples	sample	NOUN
american_scientific_journal-5938	69	3	that	that	PRON
american_scientific_journal-5938	69	4	were	be	AUX
american_scientific_journal-5938	69	5	used	use	VERB
american_scientific_journal-5938	69	6	in	in	ADP
american_scientific_journal-5938	69	7	the	the	DET
american_scientific_journal-5938	69	8	training	training	NOUN
american_scientific_journal-5938	69	9	dataset	dataset	NOUN
american_scientific_journal-5938	69	10	can	can	AUX
american_scientific_journal-5938	69	11	not	not	PART
american_scientific_journal-5938	69	12	be	be	AUX
american_scientific_journal-5938	69	13	used	use	VERB
american_scientific_journal-5938	69	14	in	in	ADP
american_scientific_journal-5938	69	15	the	the	DET
american_scientific_journal-5938	69	16	testing	testing	NOUN
american_scientific_journal-5938	69	17	,	,	PUNCT
american_scientific_journal-5938	69	18	and	and	CCONJ
american_scientific_journal-5938	69	19	so	so	ADV
american_scientific_journal-5938	69	20	we	we	PRON
american_scientific_journal-5938	69	21	need	need	VERB
american_scientific_journal-5938	69	22	new	new	ADJ
american_scientific_journal-5938	69	23	samples	sample	NOUN
american_scientific_journal-5938	69	24	.	.	PUNCT
american_scientific_journal-5938	70	1	as	as	SCONJ
american_scientific_journal-5938	70	2	mentioned	mention	VERB
american_scientific_journal-5938	70	3	,	,	PUNCT
american_scientific_journal-5938	70	4	the	the	DET
american_scientific_journal-5938	70	5	higher	high	ADJ
american_scientific_journal-5938	70	6	number	number	NOUN
american_scientific_journal-5938	70	7	of	of	ADP
american_scientific_journal-5938	70	8	samples	sample	NOUN
american_scientific_journal-5938	70	9	are	be	AUX
american_scientific_journal-5938	70	10	used	use	VERB
american_scientific_journal-5938	70	11	in	in	ADP
american_scientific_journal-5938	70	12	training	training	NOUN
american_scientific_journal-5938	70	13	,	,	PUNCT
american_scientific_journal-5938	70	14	the	the	DET
american_scientific_journal-5938	70	15	more	more	ADV
american_scientific_journal-5938	70	16	developed	develop	VERB
american_scientific_journal-5938	70	17	models	model	NOUN
american_scientific_journal-5938	70	18	are	be	AUX
american_scientific_journal-5938	70	19	robust	robust	ADJ
american_scientific_journal-5938	70	20	,	,	PUNCT
american_scientific_journal-5938	70	21	so	so	ADV
american_scientific_journal-5938	70	22	from	from	ADP
american_scientific_journal-5938	70	23	the	the	DET
american_scientific_journal-5938	70	24	kaggle	kaggle	NOUN
american_scientific_journal-5938	70	25	the	the	DET
american_scientific_journal-5938	70	26	best	good	ADJ
american_scientific_journal-5938	70	27	dataset	dataset	NOUN
american_scientific_journal-5938	70	28	with	with	ADP
american_scientific_journal-5938	70	29	the	the	DET
american_scientific_journal-5938	70	30	largest	large	ADJ
american_scientific_journal-5938	70	31	number	number	NOUN
american_scientific_journal-5938	70	32	of	of	ADP
american_scientific_journal-5938	70	33	photos	photo	NOUN
american_scientific_journal-5938	70	34	labels	label	NOUN
american_scientific_journal-5938	70	35	was	be	AUX
american_scientific_journal-5938	70	36	found	find	VERB
american_scientific_journal-5938	70	37	and	and	CCONJ
american_scientific_journal-5938	70	38	used	use	VERB
american_scientific_journal-5938	70	39	in	in	ADP
american_scientific_journal-5938	70	40	this	this	DET
american_scientific_journal-5938	70	41	work	work	NOUN
american_scientific_journal-5938	70	42	.	.	PUNCT
american_scientific_journal-5938	71	1	after	after	SCONJ
american_scientific_journal-5938	71	2	we	we	PRON
american_scientific_journal-5938	71	3	downloaded	download	VERB
american_scientific_journal-5938	71	4	the	the	DET
american_scientific_journal-5938	71	5	testing	testing	NOUN
american_scientific_journal-5938	71	6	dataset	dataset	NOUN
american_scientific_journal-5938	71	7	,	,	PUNCT
american_scientific_journal-5938	71	8	the	the	DET
american_scientific_journal-5938	71	9	same	same	ADJ
american_scientific_journal-5938	71	10	preprocessing	preprocessing	NOUN
american_scientific_journal-5938	71	11	steps	step	NOUN
american_scientific_journal-5938	71	12	as	as	ADP
american_scientific_journal-5938	71	13	training	training	NOUN
american_scientific_journal-5938	71	14	,	,	PUNCT
american_scientific_journal-5938	71	15	including	include	VERB
american_scientific_journal-5938	71	16	converting	convert	VERB
american_scientific_journal-5938	71	17	images	image	NOUN
american_scientific_journal-5938	71	18	to	to	ADP
american_scientific_journal-5938	71	19	32	32	NUM
american_scientific_journal-5938	71	20	*	*	SYM
american_scientific_journal-5938	71	21	32	32	NUM
american_scientific_journal-5938	71	22	and	and	CCONJ
american_scientific_journal-5938	71	23	64	64	NUM
american_scientific_journal-5938	71	24	*	*	SYM
american_scientific_journal-5938	71	25	64	64	NUM
american_scientific_journal-5938	71	26	and	and	CCONJ
american_scientific_journal-5938	71	27	saving	save	VERB
american_scientific_journal-5938	71	28	the	the	DET
american_scientific_journal-5938	71	29	results	result	NOUN
american_scientific_journal-5938	71	30	with	with	ADP
american_scientific_journal-5938	71	31	“	"	PUNCT
american_scientific_journal-5938	71	32	npy	npy	PROPN
american_scientific_journal-5938	71	33	”	"	PUNCT
american_scientific_journal-5938	71	34	extensions	extension	NOUN
american_scientific_journal-5938	71	35	,	,	PUNCT
american_scientific_journal-5938	71	36	were	be	AUX
american_scientific_journal-5938	71	37	applied	apply	VERB
american_scientific_journal-5938	71	38	to	to	ADP
american_scientific_journal-5938	71	39	the	the	DET
american_scientific_journal-5938	71	40	testing	testing	NOUN
american_scientific_journal-5938	71	41	dataset	dataset	NOUN
american_scientific_journal-5938	71	42	.	.	PUNCT
american_scientific_journal-5938	72	1	in	in	ADP
american_scientific_journal-5938	72	2	this	this	DET
american_scientific_journal-5938	72	3	study	study	NOUN
american_scientific_journal-5938	72	4	,	,	PUNCT
american_scientific_journal-5938	72	5	the	the	DET
american_scientific_journal-5938	72	6	dataset	dataset	NOUN
american_scientific_journal-5938	72	7	,	,	PUNCT
american_scientific_journal-5938	72	8	including	include	VERB
american_scientific_journal-5938	72	9	1011	1011	NUM
american_scientific_journal-5938	72	10	dogs‟	dogs‟	NOUN
american_scientific_journal-5938	72	11	,	,	PUNCT
american_scientific_journal-5938	72	12	and	and	CCONJ
american_scientific_journal-5938	72	13	1012	1012	NUM
american_scientific_journal-5938	72	14	cats‟	cats‟	ADJ
american_scientific_journal-5938	72	15	samples	sample	NOUN
american_scientific_journal-5938	72	16	(	(	PUNCT
american_scientific_journal-5938	72	17	a	a	DET
american_scientific_journal-5938	72	18	total	total	NOUN
american_scientific_journal-5938	72	19	of	of	ADP
american_scientific_journal-5938	72	20	2023	2023	NUM
american_scientific_journal-5938	72	21	images	image	NOUN
american_scientific_journal-5938	72	22	)	)	PUNCT
american_scientific_journal-5938	72	23	was	be	AUX
american_scientific_journal-5938	72	24	used	use	VERB
american_scientific_journal-5938	72	25	in	in	ADP
american_scientific_journal-5938	72	26	this	this	DET
american_scientific_journal-5938	72	27	project	project	NOUN
american_scientific_journal-5938	72	28	.	.	PUNCT
american_scientific_journal-5938	73	1	3.3	3.3	NUM
american_scientific_journal-5938	73	2	.	.	PUNCT
american_scientific_journal-5938	73	3	architecture	architecture	NOUN
american_scientific_journal-5938	73	4	and	and	CCONJ
american_scientific_journal-5938	73	5	method	method	VERB
american_scientific_journal-5938	73	6	the	the	DET
american_scientific_journal-5938	73	7	training	training	NOUN
american_scientific_journal-5938	73	8	step	step	NOUN
american_scientific_journal-5938	73	9	was	be	AUX
american_scientific_journal-5938	73	10	done	do	VERB
american_scientific_journal-5938	73	11	by	by	ADP
american_scientific_journal-5938	73	12	calling	call	VERB
american_scientific_journal-5938	73	13	and	and	CCONJ
american_scientific_journal-5938	73	14	using	use	VERB
american_scientific_journal-5938	73	15	existing	exist	VERB
american_scientific_journal-5938	73	16	modules	module	NOUN
american_scientific_journal-5938	73	17	(	(	PUNCT
american_scientific_journal-5938	73	18	which	which	PRON
american_scientific_journal-5938	73	19	has	have	VERB
american_scientific_journal-5938	73	20	a	a	DET
american_scientific_journal-5938	73	21	task	task	NOUN
american_scientific_journal-5938	73	22	to	to	PART
american_scientific_journal-5938	73	23	train	train	VERB
american_scientific_journal-5938	73	24	the	the	DET
american_scientific_journal-5938	73	25	models	model	NOUN
american_scientific_journal-5938	73	26	)	)	PUNCT
american_scientific_journal-5938	73	27	.	.	PUNCT
american_scientific_journal-5938	74	1	the	the	DET
american_scientific_journal-5938	74	2	training	training	NOUN
american_scientific_journal-5938	74	3	process	process	NOUN
american_scientific_journal-5938	74	4	included	include	VERB
american_scientific_journal-5938	74	5	designing	designing	NOUN
american_scientific_journal-5938	74	6	,	,	PUNCT
american_scientific_journal-5938	74	7	defining	define	VERB
american_scientific_journal-5938	74	8	,	,	PUNCT
american_scientific_journal-5938	74	9	and	and	CCONJ
american_scientific_journal-5938	74	10	setting	set	VERB
american_scientific_journal-5938	74	11	custom	custom	NOUN
american_scientific_journal-5938	74	12	parameters	parameter	NOUN
american_scientific_journal-5938	74	13	that	that	SCONJ
american_scientific_journal-5938	74	14	the	the	DET
american_scientific_journal-5938	74	15	models	model	NOUN
american_scientific_journal-5938	74	16	need	need	VERB
american_scientific_journal-5938	74	17	to	to	PART
american_scientific_journal-5938	74	18	make	make	VERB
american_scientific_journal-5938	74	19	by	by	ADP
american_scientific_journal-5938	74	20	running	run	VERB
american_scientific_journal-5938	74	21	the	the	DET
american_scientific_journal-5938	74	22	training	training	NOUN
american_scientific_journal-5938	74	23	step	step	NOUN
american_scientific_journal-5938	74	24	.	.	PUNCT
american_scientific_journal-5938	75	1	we	we	PRON
american_scientific_journal-5938	75	2	built	build	VERB
american_scientific_journal-5938	75	3	several	several	ADJ
american_scientific_journal-5938	75	4	models	model	NOUN
american_scientific_journal-5938	75	5	with	with	ADP
american_scientific_journal-5938	75	6	a	a	DET
american_scientific_journal-5938	75	7	different	different	ADJ
american_scientific_journal-5938	75	8	number	number	NOUN
american_scientific_journal-5938	75	9	of	of	ADP
american_scientific_journal-5938	75	10	layers	layer	NOUN
american_scientific_journal-5938	75	11	and	and	CCONJ
american_scientific_journal-5938	75	12	filters	filter	NOUN
american_scientific_journal-5938	75	13	to	to	PART
american_scientific_journal-5938	75	14	see	see	VERB
american_scientific_journal-5938	75	15	which	which	DET
american_scientific_journal-5938	75	16	model	model	NOUN
american_scientific_journal-5938	75	17	performs	perform	VERB
american_scientific_journal-5938	75	18	better	well	ADV
american_scientific_journal-5938	75	19	.	.	PUNCT
american_scientific_journal-5938	76	1	therefore	therefore	ADV
american_scientific_journal-5938	76	2	,	,	PUNCT
american_scientific_journal-5938	76	3	several	several	ADJ
american_scientific_journal-5938	76	4	existing	exist	VERB
american_scientific_journal-5938	76	5	modules	module	NOUN
american_scientific_journal-5938	76	6	were	be	AUX
american_scientific_journal-5938	76	7	required	require	VERB
american_scientific_journal-5938	76	8	to	to	PART
american_scientific_journal-5938	76	9	build	build	VERB
american_scientific_journal-5938	76	10	cnn	cnn	PROPN
american_scientific_journal-5938	76	11	models	model	NOUN
american_scientific_journal-5938	76	12	.	.	PUNCT
american_scientific_journal-5938	77	1	various	various	ADJ
american_scientific_journal-5938	77	2	libraries	library	NOUN
american_scientific_journal-5938	77	3	such	such	ADJ
american_scientific_journal-5938	77	4	as	as	ADP
american_scientific_journal-5938	77	5	keras	keras	PROPN
american_scientific_journal-5938	77	6	,	,	PUNCT
american_scientific_journal-5938	77	7	tensorflow	tensorflow	NOUN
american_scientific_journal-5938	77	8	,	,	PUNCT
american_scientific_journal-5938	77	9	tflearn	tflearn	NOUN
american_scientific_journal-5938	77	10	,	,	PUNCT
american_scientific_journal-5938	77	11	colab	colab	PROPN
american_scientific_journal-5938	77	12	,	,	PUNCT
american_scientific_journal-5938	77	13	and	and	CCONJ
american_scientific_journal-5938	77	14	others	other	NOUN
american_scientific_journal-5938	77	15	have	have	AUX
american_scientific_journal-5938	77	16	been	be	AUX
american_scientific_journal-5938	77	17	implemented	implement	VERB
american_scientific_journal-5938	77	18	to	to	PART
american_scientific_journal-5938	77	19	build	build	VERB
american_scientific_journal-5938	77	20	convolutional	convolutional	ADJ
american_scientific_journal-5938	77	21	neural	neural	ADJ
american_scientific_journal-5938	77	22	network	network	NOUN
american_scientific_journal-5938	77	23	models	model	NOUN
american_scientific_journal-5938	77	24	,	,	PUNCT
american_scientific_journal-5938	77	25	and	and	CCONJ
american_scientific_journal-5938	77	26	our	our	PRON
american_scientific_journal-5938	77	27	project	project	NOUN
american_scientific_journal-5938	77	28	was	be	AUX
american_scientific_journal-5938	77	29	designed	design	VERB
american_scientific_journal-5938	77	30	using	use	VERB
american_scientific_journal-5938	77	31	tflearn	tflearn	NOUN
american_scientific_journal-5938	77	32	,	,	PUNCT
american_scientific_journal-5938	77	33	which	which	PRON
american_scientific_journal-5938	77	34	has	have	VERB
american_scientific_journal-5938	77	35	a	a	DET
american_scientific_journal-5938	77	36	similar	similar	ADJ
american_scientific_journal-5938	77	37	structure	structure	NOUN
american_scientific_journal-5938	77	38	with	with	ADP
american_scientific_journal-5938	77	39	keras	keras	PROPN
american_scientific_journal-5938	77	40	.	.	PUNCT
american_scientific_journal-5938	78	1	we	we	PRON
american_scientific_journal-5938	78	2	utilized	utilize	VERB
american_scientific_journal-5938	78	3	modules	module	NOUN
american_scientific_journal-5938	78	4	,	,	PUNCT
american_scientific_journal-5938	78	5	including	include	VERB
american_scientific_journal-5938	78	6	opencv	opencv	PROPN
american_scientific_journal-5938	78	7	,	,	PUNCT
american_scientific_journal-5938	78	8	tqdm	tqdm	ADJ
american_scientific_journal-5938	78	9	,	,	PUNCT
american_scientific_journal-5938	78	10	tflearn	tflearn	NOUN
american_scientific_journal-5938	78	11	,	,	PUNCT
american_scientific_journal-5938	78	12	glob	glob	NOUN
american_scientific_journal-5938	78	13	,	,	PUNCT
american_scientific_journal-5938	78	14	tensorflow	tensorflow	NOUN
american_scientific_journal-5938	78	15	,	,	PUNCT
american_scientific_journal-5938	78	16	and	and	CCONJ
american_scientific_journal-5938	78	17	imported	import	VERB
american_scientific_journal-5938	78	18	them	they	PRON
american_scientific_journal-5938	78	19	to	to	ADP
american_scientific_journal-5938	78	20	our	our	PRON
american_scientific_journal-5938	78	21	jupyter	jupyter	ADJ
american_scientific_journal-5938	78	22	notebook	notebook	NOUN
american_scientific_journal-5938	78	23	to	to	PART
american_scientific_journal-5938	78	24	complete	complete	VERB
american_scientific_journal-5938	78	25	this	this	DET
american_scientific_journal-5938	78	26	study	study	NOUN
american_scientific_journal-5938	78	27	.	.	PUNCT
american_scientific_journal-5938	79	1	as	as	SCONJ
american_scientific_journal-5938	79	2	it	it	PRON
american_scientific_journal-5938	79	3	is	be	AUX
american_scientific_journal-5938	79	4	known	know	VERB
american_scientific_journal-5938	79	5	,	,	PUNCT
american_scientific_journal-5938	79	6	the	the	DET
american_scientific_journal-5938	79	7	architecture	architecture	NOUN
american_scientific_journal-5938	79	8	of	of	ADP
american_scientific_journal-5938	79	9	the	the	DET
american_scientific_journal-5938	79	10	convolutional	convolutional	ADJ
american_scientific_journal-5938	79	11	neural	neural	ADJ
american_scientific_journal-5938	79	12	network	network	NOUN
american_scientific_journal-5938	79	13	so	so	ADV
american_scientific_journal-5938	79	14	-	-	PUNCT
american_scientific_journal-5938	79	15	called	call	VERB
american_scientific_journal-5938	79	16	cnn	cnn	PROPN
american_scientific_journal-5938	79	17	is	be	AUX
american_scientific_journal-5938	79	18	composed	compose	VERB
american_scientific_journal-5938	79	19	of	of	ADP
american_scientific_journal-5938	79	20	three	three	NUM
american_scientific_journal-5938	79	21	major	major	ADJ
american_scientific_journal-5938	79	22	parts	part	NOUN
american_scientific_journal-5938	79	23	:	:	PUNCT
american_scientific_journal-5938	79	24	conv	conv	ADJ
american_scientific_journal-5938	79	25	layer	layer	NOUN
american_scientific_journal-5938	79	26	,	,	PUNCT
american_scientific_journal-5938	79	27	max_pool	max_pool	NOUN
american_scientific_journal-5938	79	28	layer	layer	NOUN
american_scientific_journal-5938	79	29	,	,	PUNCT
american_scientific_journal-5938	79	30	and	and	CCONJ
american_scientific_journal-5938	79	31	fully_connected	fully_connecte	VERB
american_scientific_journal-5938	79	32	layer	layer	NOUN
american_scientific_journal-5938	79	33	.	.	PUNCT
american_scientific_journal-5938	80	1	convolutional	convolutional	ADJ
american_scientific_journal-5938	80	2	layer	layer	NOUN
american_scientific_journal-5938	80	3	so	so	ADV
american_scientific_journal-5938	80	4	-	-	PUNCT
american_scientific_journal-5938	80	5	called	call	VERB
american_scientific_journal-5938	80	6	conv	conv	NOUN
american_scientific_journal-5938	80	7	as	as	ADP
american_scientific_journal-5938	80	8	the	the	DET
american_scientific_journal-5938	80	9	first	first	ADJ
american_scientific_journal-5938	80	10	layer	layer	NOUN
american_scientific_journal-5938	80	11	is	be	AUX
american_scientific_journal-5938	80	12	used	use	VERB
american_scientific_journal-5938	80	13	to	to	PART
american_scientific_journal-5938	80	14	scan	scan	VERB
american_scientific_journal-5938	80	15	incoming	incoming	ADJ
american_scientific_journal-5938	80	16	inputs	input	NOUN
american_scientific_journal-5938	80	17	and	and	CCONJ
american_scientific_journal-5938	80	18	distinguish	distinguish	VERB
american_scientific_journal-5938	80	19	the	the	DET
american_scientific_journal-5938	80	20	weight	weight	NOUN
american_scientific_journal-5938	80	21	,	,	PUNCT
american_scientific_journal-5938	80	22	height	height	NOUN
american_scientific_journal-5938	80	23	,	,	PUNCT
american_scientific_journal-5938	80	24	and	and	CCONJ
american_scientific_journal-5938	80	25	depth	depth	NOUN
american_scientific_journal-5938	80	26	of	of	ADP
american_scientific_journal-5938	80	27	each	each	DET
american_scientific_journal-5938	80	28	image	image	NOUN
american_scientific_journal-5938	80	29	.	.	PUNCT
american_scientific_journal-5938	81	1	in	in	ADP
american_scientific_journal-5938	81	2	other	other	ADJ
american_scientific_journal-5938	81	3	words	word	NOUN
american_scientific_journal-5938	81	4	,	,	PUNCT
american_scientific_journal-5938	81	5	this	this	DET
american_scientific_journal-5938	81	6	layer	layer	NOUN
american_scientific_journal-5938	81	7	is	be	AUX
american_scientific_journal-5938	81	8	the	the	DET
american_scientific_journal-5938	81	9	core	core	NOUN
american_scientific_journal-5938	81	10	of	of	ADP
american_scientific_journal-5938	81	11	the	the	DET
american_scientific_journal-5938	81	12	neural	neural	ADJ
american_scientific_journal-5938	81	13	networks	network	NOUN
american_scientific_journal-5938	81	14	,	,	PUNCT
american_scientific_journal-5938	81	15	which	which	PRON
american_scientific_journal-5938	81	16	has	have	VERB
american_scientific_journal-5938	81	17	hyperparameters	hyperparameter	NOUN
american_scientific_journal-5938	81	18	that	that	PRON
american_scientific_journal-5938	81	19	include	include	VERB
american_scientific_journal-5938	81	20	the	the	DET
american_scientific_journal-5938	81	21	main	main	ADJ
american_scientific_journal-5938	81	22	processing	processing	NOUN
american_scientific_journal-5938	81	23	,	,	PUNCT
american_scientific_journal-5938	81	24	number	number	NOUN
american_scientific_journal-5938	81	25	of	of	ADP
american_scientific_journal-5938	81	26	filters	filter	NOUN
american_scientific_journal-5938	81	27	,	,	PUNCT
american_scientific_journal-5938	81	28	the	the	DET
american_scientific_journal-5938	81	29	size	size	NOUN
american_scientific_journal-5938	81	30	of	of	ADP
american_scientific_journal-5938	81	31	each	each	DET
american_scientific_journal-5938	81	32	filter	filter	NOUN
american_scientific_journal-5938	81	33	,	,	PUNCT
american_scientific_journal-5938	81	34	and	and	CCONJ
american_scientific_journal-5938	81	35	a	a	DET
american_scientific_journal-5938	81	36	task	task	NOUN
american_scientific_journal-5938	81	37	to	to	PART
american_scientific_journal-5938	81	38	activate	activate	VERB
american_scientific_journal-5938	81	39	the	the	DET
american_scientific_journal-5938	81	40	relu	relu	NOUN
american_scientific_journal-5938	81	41	layer	layer	NOUN
american_scientific_journal-5938	82	1	[	[	X
american_scientific_journal-5938	82	2	18	18	NUM
american_scientific_journal-5938	82	3	]	]	PUNCT
american_scientific_journal-5938	82	4	.	.	PUNCT
american_scientific_journal-5938	83	1	the	the	DET
american_scientific_journal-5938	83	2	second	second	ADJ
american_scientific_journal-5938	83	3	component	component	NOUN
american_scientific_journal-5938	83	4	is	be	AUX
american_scientific_journal-5938	83	5	max_pool	max_pool	NOUN
american_scientific_journal-5938	83	6	,	,	PUNCT
american_scientific_journal-5938	83	7	which	which	PRON
american_scientific_journal-5938	83	8	is	be	AUX
american_scientific_journal-5938	83	9	the	the	DET
american_scientific_journal-5938	83	10	layer	layer	NOUN
american_scientific_journal-5938	83	11	that	that	PRON
american_scientific_journal-5938	83	12	is	be	AUX
american_scientific_journal-5938	83	13	located	locate	VERB
american_scientific_journal-5938	83	14	between	between	ADP
american_scientific_journal-5938	83	15	the	the	DET
american_scientific_journal-5938	83	16	conv	conv	ADJ
american_scientific_journal-5938	83	17	layers	layer	NOUN
american_scientific_journal-5938	83	18	and	and	CCONJ
american_scientific_journal-5938	83	19	is	be	AUX
american_scientific_journal-5938	83	20	in	in	ADP
american_scientific_journal-5938	83	21	charge	charge	NOUN
american_scientific_journal-5938	83	22	of	of	ADP
american_scientific_journal-5938	83	23	reducing	reduce	VERB
american_scientific_journal-5938	83	24	the	the	DET
american_scientific_journal-5938	83	25	numbers	number	NOUN
american_scientific_journal-5938	83	26	of	of	ADP
american_scientific_journal-5938	83	27	network	network	NOUN
american_scientific_journal-5938	83	28	parameters	parameter	NOUN
american_scientific_journal-5938	83	29	while	while	SCONJ
american_scientific_journal-5938	83	30	retaining	retain	VERB
american_scientific_journal-5938	83	31	the	the	DET
american_scientific_journal-5938	83	32	maximum	maximum	ADJ
american_scientific_journal-5938	83	33	values	value	NOUN
american_scientific_journal-5938	83	34	of	of	ADP
american_scientific_journal-5938	83	35	input	input	NOUN
american_scientific_journal-5938	83	36	[	[	X
american_scientific_journal-5938	83	37	19	19	NUM
american_scientific_journal-5938	83	38	]	]	PUNCT
american_scientific_journal-5938	83	39	.	.	PUNCT
american_scientific_journal-5938	84	1	fully	fully	ADV
american_scientific_journal-5938	84	2	connected	connect	VERB
american_scientific_journal-5938	84	3	layer	layer	NOUN
american_scientific_journal-5938	84	4	(	(	PUNCT
american_scientific_journal-5938	84	5	fc	fc	X
american_scientific_journal-5938	84	6	)	)	PUNCT
american_scientific_journal-5938	84	7	is	be	AUX
american_scientific_journal-5938	84	8	the	the	DET
american_scientific_journal-5938	84	9	third	third	ADJ
american_scientific_journal-5938	84	10	component	component	NOUN
american_scientific_journal-5938	84	11	,	,	PUNCT
american_scientific_journal-5938	84	12	and	and	CCONJ
american_scientific_journal-5938	84	13	this	this	DET
american_scientific_journal-5938	84	14	layer	layer	NOUN
american_scientific_journal-5938	84	15	is	be	AUX
american_scientific_journal-5938	84	16	the	the	DET
american_scientific_journal-5938	84	17	last	last	ADJ
american_scientific_journal-5938	84	18	layer	layer	NOUN
american_scientific_journal-5938	84	19	of	of	ADP
american_scientific_journal-5938	84	20	cnn	cnn	PROPN
american_scientific_journal-5938	84	21	architecture	architecture	NOUN
american_scientific_journal-5938	84	22	to	to	PART
american_scientific_journal-5938	84	23	specify	specify	VERB
american_scientific_journal-5938	84	24	the	the	DET
american_scientific_journal-5938	84	25	class	class	NOUN
american_scientific_journal-5938	84	26	probability	probability	NOUN
american_scientific_journal-5938	84	27	,	,	PUNCT
american_scientific_journal-5938	84	28	and	and	CCONJ
american_scientific_journal-5938	84	29	as	as	SCONJ
american_scientific_journal-5938	84	30	the	the	DET
american_scientific_journal-5938	84	31	layer	layer	NOUN
american_scientific_journal-5938	84	32	name	name	NOUN
american_scientific_journal-5938	84	33	suggests	suggest	VERB
american_scientific_journal-5938	84	34	,	,	PUNCT
american_scientific_journal-5938	84	35	each	each	DET
american_scientific_journal-5938	84	36	neuron	neuron	NOUN
american_scientific_journal-5938	84	37	in	in	ADP
american_scientific_journal-5938	84	38	this	this	DET
american_scientific_journal-5938	84	39	layer	layer	NOUN
american_scientific_journal-5938	84	40	is	be	AUX
american_scientific_journal-5938	84	41	associated	associate	VERB
american_scientific_journal-5938	84	42	with	with	ADP
american_scientific_journal-5938	84	43	all	all	DET
american_scientific_journal-5938	84	44	the	the	DET
american_scientific_journal-5938	84	45	neurons	neuron	NOUN
american_scientific_journal-5938	84	46	in	in	ADP
american_scientific_journal-5938	84	47	the	the	DET
american_scientific_journal-5938	84	48	previous	previous	ADJ
american_scientific_journal-5938	84	49	layer	layer	NOUN
american_scientific_journal-5938	85	1	[	[	X
american_scientific_journal-5938	85	2	20	20	NUM
american_scientific_journal-5938	85	3	]	]	PUNCT
american_scientific_journal-5938	85	4	.	.	PUNCT
american_scientific_journal-5938	86	1	we	we	PRON
american_scientific_journal-5938	86	2	built	build	VERB
american_scientific_journal-5938	86	3	the	the	DET
american_scientific_journal-5938	86	4	models	model	NOUN
american_scientific_journal-5938	86	5	using	use	VERB
american_scientific_journal-5938	86	6	several	several	ADJ
american_scientific_journal-5938	86	7	different	different	ADJ
american_scientific_journal-5938	86	8	parameters	parameter	NOUN
american_scientific_journal-5938	86	9	.	.	PUNCT
american_scientific_journal-5938	87	1	in	in	ADP
american_scientific_journal-5938	87	2	this	this	DET
american_scientific_journal-5938	87	3	study	study	NOUN
american_scientific_journal-5938	87	4	,	,	PUNCT
american_scientific_journal-5938	87	5	each	each	DET
american_scientific_journal-5938	87	6	model	model	NOUN
american_scientific_journal-5938	87	7	was	be	AUX
american_scientific_journal-5938	87	8	created	create	VERB
american_scientific_journal-5938	87	9	with	with	ADP
american_scientific_journal-5938	87	10	and	and	CCONJ
american_scientific_journal-5938	87	11	without	without	ADP
american_scientific_journal-5938	87	12	dropout	dropout	NOUN
american_scientific_journal-5938	87	13	.	.	PUNCT
american_scientific_journal-5938	88	1	dropout	dropout	NOUN
american_scientific_journal-5938	88	2	is	be	AUX
american_scientific_journal-5938	88	3	a	a	DET
american_scientific_journal-5938	88	4	systematic	systematic	ADJ
american_scientific_journal-5938	88	5	method	method	NOUN
american_scientific_journal-5938	88	6	invented	invent	VERB
american_scientific_journal-5938	88	7	by	by	ADP
american_scientific_journal-5938	88	8	google	google	PROPN
american_scientific_journal-5938	88	9	research	research	NOUN
american_scientific_journal-5938	88	10	to	to	PART
american_scientific_journal-5938	88	11	reduce	reduce	VERB
american_scientific_journal-5938	88	12	over	over	ADP
american_scientific_journal-5938	88	13	-	-	PUNCT
american_scientific_journal-5938	88	14	connectivity	connectivity	NOUN
american_scientific_journal-5938	88	15	in	in	ADP
american_scientific_journal-5938	88	16	neural	neural	ADJ
american_scientific_journal-5938	88	17	networks	network	NOUN
american_scientific_journal-5938	88	18	by	by	ADP
american_scientific_journal-5938	88	19	preventing	prevent	VERB
american_scientific_journal-5938	88	20	complex	complex	ADJ
american_scientific_journal-5938	88	21	synchronization	synchronization	NOUN
american_scientific_journal-5938	88	22	of	of	ADP
american_scientific_journal-5938	88	23	training	training	NOUN
american_scientific_journal-5938	88	24	data	datum	NOUN
american_scientific_journal-5938	88	25	[	[	X
american_scientific_journal-5938	88	26	21	21	NUM
american_scientific_journal-5938	88	27	]	]	PUNCT
american_scientific_journal-5938	88	28	.	.	PUNCT
american_scientific_journal-5938	89	1	dropout	dropout	NOUN
american_scientific_journal-5938	89	2	is	be	AUX
american_scientific_journal-5938	89	3	a	a	DET
american_scientific_journal-5938	89	4	very	very	ADV
american_scientific_journal-5938	89	5	efficient	efficient	ADJ
american_scientific_journal-5938	89	6	and	and	CCONJ
american_scientific_journal-5938	89	7	practical	practical	ADJ
american_scientific_journal-5938	89	8	method	method	NOUN
american_scientific_journal-5938	89	9	that	that	PRON
american_scientific_journal-5938	89	10	significantly	significantly	ADV
american_scientific_journal-5938	89	11	improves	improve	VERB
american_scientific_journal-5938	89	12	the	the	DET
american_scientific_journal-5938	89	13	accuracy	accuracy	NOUN
american_scientific_journal-5938	89	14	and	and	CCONJ
american_scientific_journal-5938	89	15	training	training	NOUN
american_scientific_journal-5938	89	16	of	of	ADP
american_scientific_journal-5938	89	17	the	the	DET
american_scientific_journal-5938	89	18	models	model	NOUN
american_scientific_journal-5938	89	19	.	.	PUNCT
american_scientific_journal-5938	90	1	american	american	ADJ
american_scientific_journal-5938	90	2	scientific	scientific	ADJ
american_scientific_journal-5938	90	3	research	research	PROPN
american_scientific_journal-5938	90	4	journal	journal	NOUN
american_scientific_journal-5938	90	5	for	for	ADP
american_scientific_journal-5938	90	6	engineering	engineering	NOUN
american_scientific_journal-5938	90	7	,	,	PUNCT
american_scientific_journal-5938	90	8	technology	technology	NOUN
american_scientific_journal-5938	90	9	,	,	PUNCT
american_scientific_journal-5938	90	10	and	and	CCONJ
american_scientific_journal-5938	90	11	sciences	science	NOUN
american_scientific_journal-5938	90	12	(	(	PUNCT
american_scientific_journal-5938	90	13	asrjets	asrjet	NOUN
american_scientific_journal-5938	90	14	)	)	PUNCT
american_scientific_journal-5938	90	15	(	(	PUNCT
american_scientific_journal-5938	90	16	2020	2020	NUM
american_scientific_journal-5938	90	17	)	)	PUNCT
american_scientific_journal-5938	90	18	volume	volume	NOUN
american_scientific_journal-5938	90	19	68	68	NUM
american_scientific_journal-5938	90	20	,	,	PUNCT
american_scientific_journal-5938	90	21	no	no	DET
american_scientific_journal-5938	90	22	1	1	NUM
american_scientific_journal-5938	90	23	,	,	PUNCT
american_scientific_journal-5938	90	24	pp	pp	ADV
american_scientific_journal-5938	90	25	181	181	NUM
american_scientific_journal-5938	90	26	-	-	SYM
american_scientific_journal-5938	90	27	192	192	NUM
american_scientific_journal-5938	90	28	185	185	NUM
american_scientific_journal-5938	90	29	3.4	3.4	NUM
american_scientific_journal-5938	90	30	.	.	PUNCT
american_scientific_journal-5938	90	31	models	model	NOUN
american_scientific_journal-5938	90	32	in	in	ADP
american_scientific_journal-5938	90	33	this	this	DET
american_scientific_journal-5938	90	34	study	study	NOUN
american_scientific_journal-5938	90	35	,	,	PUNCT
american_scientific_journal-5938	90	36	for	for	ADP
american_scientific_journal-5938	90	37	the	the	DET
american_scientific_journal-5938	90	38	sake	sake	NOUN
american_scientific_journal-5938	90	39	of	of	ADP
american_scientific_journal-5938	90	40	model	model	NOUN
american_scientific_journal-5938	90	41	comparison	comparison	NOUN
american_scientific_journal-5938	90	42	,	,	PUNCT
american_scientific_journal-5938	90	43	two	two	NUM
american_scientific_journal-5938	90	44	-	-	PUNCT
american_scientific_journal-5938	90	45	layer	layer	NOUN
american_scientific_journal-5938	90	46	and	and	CCONJ
american_scientific_journal-5938	90	47	three	three	NUM
american_scientific_journal-5938	90	48	-	-	PUNCT
american_scientific_journal-5938	90	49	layer	layer	NOUN
american_scientific_journal-5938	90	50	cnn	cnn	NOUN
american_scientific_journal-5938	90	51	models	model	NOUN
american_scientific_journal-5938	90	52	were	be	AUX
american_scientific_journal-5938	90	53	designed	design	VERB
american_scientific_journal-5938	90	54	.	.	PUNCT
american_scientific_journal-5938	91	1	in	in	ADP
american_scientific_journal-5938	91	2	twolayer	twolayer	NOUN
american_scientific_journal-5938	91	3	models	model	NOUN
american_scientific_journal-5938	91	4	,	,	PUNCT
american_scientific_journal-5938	91	5	the	the	DET
american_scientific_journal-5938	91	6	number	number	NOUN
american_scientific_journal-5938	91	7	of	of	ADP
american_scientific_journal-5938	91	8	filters	filter	NOUN
american_scientific_journal-5938	91	9	was	be	AUX
american_scientific_journal-5938	91	10	considered	consider	VERB
american_scientific_journal-5938	91	11	as	as	ADP
american_scientific_journal-5938	91	12	32	32	NUM
american_scientific_journal-5938	91	13	and	and	CCONJ
american_scientific_journal-5938	91	14	64	64	NUM
american_scientific_journal-5938	91	15	with	with	ADP
american_scientific_journal-5938	91	16	a	a	DET
american_scientific_journal-5938	91	17	dimension	dimension	NOUN
american_scientific_journal-5938	91	18	of	of	ADP
american_scientific_journal-5938	91	19	3x3	3x3	NUM
american_scientific_journal-5938	91	20	.	.	PUNCT
american_scientific_journal-5938	92	1	but	but	CCONJ
american_scientific_journal-5938	92	2	for	for	ADP
american_scientific_journal-5938	92	3	three	three	NUM
american_scientific_journal-5938	92	4	-	-	PUNCT
american_scientific_journal-5938	92	5	layer	layer	NOUN
american_scientific_journal-5938	92	6	cnn	cnn	PROPN
american_scientific_journal-5938	92	7	models	model	NOUN
american_scientific_journal-5938	92	8	,	,	PUNCT
american_scientific_journal-5938	92	9	the	the	DET
american_scientific_journal-5938	92	10	number	number	NOUN
american_scientific_journal-5938	92	11	of	of	ADP
american_scientific_journal-5938	92	12	filters	filter	NOUN
american_scientific_journal-5938	92	13	was	be	AUX
american_scientific_journal-5938	92	14	increased	increase	VERB
american_scientific_journal-5938	92	15	to	to	ADP
american_scientific_journal-5938	92	16	128	128	NUM
american_scientific_journal-5938	92	17	with	with	ADP
american_scientific_journal-5938	92	18	a	a	DET
american_scientific_journal-5938	92	19	dimension	dimension	NOUN
american_scientific_journal-5938	92	20	of	of	ADP
american_scientific_journal-5938	92	21	3x3	3x3	NUM
american_scientific_journal-5938	92	22	,	,	PUNCT
american_scientific_journal-5938	92	23	and	and	CCONJ
american_scientific_journal-5938	92	24	at	at	ADP
american_scientific_journal-5938	92	25	last	last	ADJ
american_scientific_journal-5938	92	26	in	in	ADP
american_scientific_journal-5938	92	27	cnn	cnn	PROPN
american_scientific_journal-5938	92	28	architecture	architecture	NOUN
american_scientific_journal-5938	92	29	,	,	PUNCT
american_scientific_journal-5938	92	30	the	the	DET
american_scientific_journal-5938	92	31	fully	fully	ADV
american_scientific_journal-5938	92	32	connected	connected	ADJ
american_scientific_journal-5938	92	33	layer	layer	NOUN
american_scientific_journal-5938	92	34	was	be	AUX
american_scientific_journal-5938	92	35	designed	design	VERB
american_scientific_journal-5938	92	36	.	.	PUNCT
american_scientific_journal-5938	93	1	based	base	VERB
american_scientific_journal-5938	93	2	on	on	ADP
american_scientific_journal-5938	93	3	what	what	PRON
american_scientific_journal-5938	93	4	was	be	AUX
american_scientific_journal-5938	93	5	described	describe	VERB
american_scientific_journal-5938	93	6	in	in	ADP
american_scientific_journal-5938	93	7	dropout	dropout	NOUN
american_scientific_journal-5938	93	8	,	,	PUNCT
american_scientific_journal-5938	93	9	we	we	PRON
american_scientific_journal-5938	93	10	implemented	implement	VERB
american_scientific_journal-5938	93	11	this	this	DET
american_scientific_journal-5938	93	12	capability	capability	NOUN
american_scientific_journal-5938	93	13	as	as	ADP
american_scientific_journal-5938	93	14	a	a	DET
american_scientific_journal-5938	93	15	logical	logical	ADJ
american_scientific_journal-5938	93	16	flag	flag	NOUN
american_scientific_journal-5938	93	17	where	where	SCONJ
american_scientific_journal-5938	93	18	true	true	ADJ
american_scientific_journal-5938	93	19	refers	refer	VERB
american_scientific_journal-5938	93	20	to	to	ADP
american_scientific_journal-5938	93	21	a	a	DET
american_scientific_journal-5938	93	22	model	model	NOUN
american_scientific_journal-5938	93	23	with	with	ADP
american_scientific_journal-5938	93	24	dropout	dropout	NOUN
american_scientific_journal-5938	93	25	,	,	PUNCT
american_scientific_journal-5938	93	26	and	and	CCONJ
american_scientific_journal-5938	93	27	false	false	ADJ
american_scientific_journal-5938	93	28	refers	refer	VERB
american_scientific_journal-5938	93	29	to	to	ADP
american_scientific_journal-5938	93	30	without	without	ADP
american_scientific_journal-5938	93	31	dropout	dropout	NOUN
american_scientific_journal-5938	93	32	.	.	PUNCT
american_scientific_journal-5938	94	1	tensorflow	tensorflow	NOUN
american_scientific_journal-5938	94	2	has	have	AUX
american_scientific_journal-5938	94	3	provided	provide	VERB
american_scientific_journal-5938	94	4	a	a	DET
american_scientific_journal-5938	94	5	monitoring	monitoring	NOUN
american_scientific_journal-5938	94	6	capability	capability	NOUN
american_scientific_journal-5938	94	7	so	so	ADV
american_scientific_journal-5938	94	8	-	-	PUNCT
american_scientific_journal-5938	94	9	called	call	VERB
american_scientific_journal-5938	94	10	tensorboard	tensorboard	NOUN
american_scientific_journal-5938	94	11	for	for	ADP
american_scientific_journal-5938	94	12	its	its	PRON
american_scientific_journal-5938	94	13	users	user	NOUN
american_scientific_journal-5938	94	14	to	to	PART
american_scientific_journal-5938	94	15	create	create	VERB
american_scientific_journal-5938	94	16	the	the	DET
american_scientific_journal-5938	94	17	graph	graph	NOUN
american_scientific_journal-5938	94	18	of	of	ADP
american_scientific_journal-5938	94	19	model	model	NOUN
american_scientific_journal-5938	94	20	training	training	NOUN
american_scientific_journal-5938	94	21	with	with	ADP
american_scientific_journal-5938	94	22	a	a	DET
american_scientific_journal-5938	94	23	simple	simple	ADJ
american_scientific_journal-5938	94	24	command	command	NOUN
american_scientific_journal-5938	94	25	line	line	NOUN
american_scientific_journal-5938	94	26	to	to	PART
american_scientific_journal-5938	94	27	show	show	VERB
american_scientific_journal-5938	94	28	what	what	PRON
american_scientific_journal-5938	94	29	is	be	AUX
american_scientific_journal-5938	94	30	happening	happen	VERB
american_scientific_journal-5938	94	31	at	at	ADP
american_scientific_journal-5938	94	32	each	each	DET
american_scientific_journal-5938	94	33	step	step	NOUN
american_scientific_journal-5938	94	34	.	.	PUNCT
american_scientific_journal-5938	95	1	table	table	NOUN
american_scientific_journal-5938	95	2	1	1	NUM
american_scientific_journal-5938	95	3	illustrate	illustrate	VERB
american_scientific_journal-5938	95	4	eight	eight	NUM
american_scientific_journal-5938	95	5	cnn	cnn	NOUN
american_scientific_journal-5938	95	6	models	model	NOUN
american_scientific_journal-5938	95	7	created	create	VERB
american_scientific_journal-5938	95	8	in	in	ADP
american_scientific_journal-5938	95	9	this	this	DET
american_scientific_journal-5938	95	10	study	study	NOUN
american_scientific_journal-5938	95	11	of	of	ADP
american_scientific_journal-5938	95	12	dog	dog	NOUN
american_scientific_journal-5938	95	13	and	and	CCONJ
american_scientific_journal-5938	95	14	cat	cat	NOUN
american_scientific_journal-5938	95	15	binary	binary	PROPN
american_scientific_journal-5938	95	16	classification	classification	PROPN
american_scientific_journal-5938	95	17	.	.	PUNCT
american_scientific_journal-5938	96	1	table	table	NOUN
american_scientific_journal-5938	96	2	1	1	NUM
american_scientific_journal-5938	96	3	:	:	PUNCT
american_scientific_journal-5938	96	4	models	model	VERB
american_scientific_journal-5938	96	5	information	information	NOUN
american_scientific_journal-5938	96	6	and	and	CCONJ
american_scientific_journal-5938	96	7	structure	structure	NOUN
american_scientific_journal-5938	96	8	designed	design	VERB
american_scientific_journal-5938	96	9	and	and	CCONJ
american_scientific_journal-5938	96	10	built	build	VERB
american_scientific_journal-5938	96	11	in	in	ADP
american_scientific_journal-5938	96	12	this	this	DET
american_scientific_journal-5938	96	13	project	project	NOUN
american_scientific_journal-5938	96	14	model	model	NOUN
american_scientific_journal-5938	96	15	layer	layer	NOUN
american_scientific_journal-5938	96	16	input	input	NOUN
american_scientific_journal-5938	96	17	img	img	NOUN
american_scientific_journal-5938	96	18	size	size	NOUN
american_scientific_journal-5938	96	19	number	number	NOUN
american_scientific_journal-5938	96	20	of	of	ADP
american_scientific_journal-5938	96	21	filters	filter	NOUN
american_scientific_journal-5938	96	22	dropout	dropout	VERB
american_scientific_journal-5938	96	23	1	1	NUM
american_scientific_journal-5938	96	24	2	2	NUM
american_scientific_journal-5938	96	25	32	32	NUM
american_scientific_journal-5938	96	26	*	*	SYM
american_scientific_journal-5938	96	27	32	32	NUM
american_scientific_journal-5938	97	1	32,64	32,64	NUM
american_scientific_journal-5938	97	2	true	true	ADJ
american_scientific_journal-5938	97	3	2	2	NUM
american_scientific_journal-5938	97	4	2	2	NUM
american_scientific_journal-5938	97	5	32	32	NUM
american_scientific_journal-5938	97	6	*	*	SYM
american_scientific_journal-5938	97	7	32	32	NUM
american_scientific_journal-5938	97	8	32,64	32,64	NUM
american_scientific_journal-5938	97	9	false	false	ADJ
american_scientific_journal-5938	97	10	3	3	NUM
american_scientific_journal-5938	97	11	2	2	NUM
american_scientific_journal-5938	97	12	64	64	NUM
american_scientific_journal-5938	97	13	*	*	SYM
american_scientific_journal-5938	97	14	64	64	NUM
american_scientific_journal-5938	97	15	32,64	32,64	NUM
american_scientific_journal-5938	97	16	true	true	ADJ
american_scientific_journal-5938	97	17	4	4	NUM
american_scientific_journal-5938	97	18	2	2	NUM
american_scientific_journal-5938	97	19	64	64	NUM
american_scientific_journal-5938	97	20	*	*	SYM
american_scientific_journal-5938	97	21	64	64	NUM
american_scientific_journal-5938	97	22	32,64	32,64	NUM
american_scientific_journal-5938	97	23	false	false	ADJ
american_scientific_journal-5938	97	24	5	5	NUM
american_scientific_journal-5938	97	25	3	3	NUM
american_scientific_journal-5938	97	26	32	32	NUM
american_scientific_journal-5938	97	27	*	*	SYM
american_scientific_journal-5938	97	28	32	32	NUM
american_scientific_journal-5938	97	29	32,64,128	32,64,128	NUM
american_scientific_journal-5938	97	30	true	true	ADJ
american_scientific_journal-5938	97	31	6	6	NUM
american_scientific_journal-5938	97	32	3	3	NUM
american_scientific_journal-5938	97	33	32	32	NUM
american_scientific_journal-5938	97	34	*	*	SYM
american_scientific_journal-5938	97	35	32	32	NUM
american_scientific_journal-5938	97	36	32,64,128	32,64,128	NUM
american_scientific_journal-5938	97	37	false	false	ADJ
american_scientific_journal-5938	97	38	7	7	NUM
american_scientific_journal-5938	97	39	3	3	NUM
american_scientific_journal-5938	97	40	64	64	NUM
american_scientific_journal-5938	97	41	*	*	NUM
american_scientific_journal-5938	97	42	64	64	NUM
american_scientific_journal-5938	97	43	32,64,128	32,64,128	NUM
american_scientific_journal-5938	97	44	true	true	ADJ
american_scientific_journal-5938	97	45	8	8	NUM
american_scientific_journal-5938	97	46	3	3	NUM
american_scientific_journal-5938	97	47	64	64	NUM
american_scientific_journal-5938	97	48	*	*	NUM
american_scientific_journal-5938	97	49	64	64	NUM
american_scientific_journal-5938	97	50	32,64,128	32,64,128	NUM
american_scientific_journal-5938	97	51	false	false	ADJ
american_scientific_journal-5938	97	52	after	after	ADP
american_scientific_journal-5938	97	53	designing	design	VERB
american_scientific_journal-5938	97	54	the	the	DET
american_scientific_journal-5938	97	55	models	model	NOUN
american_scientific_journal-5938	97	56	and	and	CCONJ
american_scientific_journal-5938	97	57	roadmap	roadmap	NOUN
american_scientific_journal-5938	97	58	of	of	ADP
american_scientific_journal-5938	97	59	the	the	DET
american_scientific_journal-5938	97	60	project	project	NOUN
american_scientific_journal-5938	97	61	by	by	ADP
american_scientific_journal-5938	97	62	defining	define	VERB
american_scientific_journal-5938	97	63	architectures	architecture	NOUN
american_scientific_journal-5938	97	64	and	and	CCONJ
american_scientific_journal-5938	97	65	parameters	parameter	NOUN
american_scientific_journal-5938	97	66	,	,	PUNCT
american_scientific_journal-5938	97	67	we	we	PRON
american_scientific_journal-5938	97	68	started	start	VERB
american_scientific_journal-5938	97	69	building	build	VERB
american_scientific_journal-5938	97	70	the	the	DET
american_scientific_journal-5938	97	71	models	model	NOUN
american_scientific_journal-5938	97	72	.	.	PUNCT
american_scientific_journal-5938	98	1	we	we	PRON
american_scientific_journal-5938	98	2	specified	specify	VERB
american_scientific_journal-5938	98	3	the	the	DET
american_scientific_journal-5938	98	4	number	number	NOUN
american_scientific_journal-5938	98	5	of	of	ADP
american_scientific_journal-5938	98	6	epochs	epoch	NOUN
american_scientific_journal-5938	98	7	to	to	ADP
american_scientific_journal-5938	98	8	30	30	NUM
american_scientific_journal-5938	98	9	times	time	NOUN
american_scientific_journal-5938	98	10	,	,	PUNCT
american_scientific_journal-5938	98	11	as	as	SCONJ
american_scientific_journal-5938	98	12	the	the	DET
american_scientific_journal-5938	98	13	literature	literature	NOUN
american_scientific_journal-5938	98	14	recommended	recommend	VERB
american_scientific_journal-5938	98	15	,	,	PUNCT
american_scientific_journal-5938	98	16	and	and	CCONJ
american_scientific_journal-5938	98	17	this	this	DET
american_scientific_journal-5938	98	18	number	number	NOUN
american_scientific_journal-5938	98	19	seems	seem	VERB
american_scientific_journal-5938	98	20	to	to	PART
american_scientific_journal-5938	98	21	be	be	AUX
american_scientific_journal-5938	98	22	sufficient	sufficient	ADJ
american_scientific_journal-5938	98	23	with	with	ADP
american_scientific_journal-5938	98	24	the	the	DET
american_scientific_journal-5938	98	25	number	number	NOUN
american_scientific_journal-5938	98	26	of	of	ADP
american_scientific_journal-5938	98	27	samples	sample	NOUN
american_scientific_journal-5938	98	28	and	and	CCONJ
american_scientific_journal-5938	98	29	architecture	architecture	NOUN
american_scientific_journal-5938	98	30	that	that	PRON
american_scientific_journal-5938	98	31	has	have	AUX
american_scientific_journal-5938	98	32	been	be	AUX
american_scientific_journal-5938	98	33	designed	design	VERB
american_scientific_journal-5938	98	34	.	.	PUNCT
american_scientific_journal-5938	99	1	the	the	DET
american_scientific_journal-5938	99	2	higher	high	ADJ
american_scientific_journal-5938	99	3	number	number	NOUN
american_scientific_journal-5938	99	4	of	of	ADP
american_scientific_journal-5938	99	5	epochs	epoch	NOUN
american_scientific_journal-5938	99	6	does	do	AUX
american_scientific_journal-5938	99	7	not	not	PART
american_scientific_journal-5938	99	8	necessarily	necessarily	ADV
american_scientific_journal-5938	99	9	produce	produce	VERB
american_scientific_journal-5938	99	10	a	a	DET
american_scientific_journal-5938	99	11	better	well	ADJ
american_scientific_journal-5938	99	12	result	result	NOUN
american_scientific_journal-5938	99	13	for	for	ADP
american_scientific_journal-5938	99	14	training	training	NOUN
american_scientific_journal-5938	99	15	and	and	CCONJ
american_scientific_journal-5938	99	16	accuracy	accuracy	NOUN
american_scientific_journal-5938	99	17	and	and	CCONJ
american_scientific_journal-5938	99	18	does	do	AUX
american_scientific_journal-5938	99	19	not	not	PART
american_scientific_journal-5938	99	20	necessarily	necessarily	ADV
american_scientific_journal-5938	99	21	reduce	reduce	VERB
american_scientific_journal-5938	99	22	the	the	DET
american_scientific_journal-5938	99	23	number	number	NOUN
american_scientific_journal-5938	99	24	of	of	ADP
american_scientific_journal-5938	99	25	loss	loss	NOUN
american_scientific_journal-5938	99	26	positions	position	NOUN
american_scientific_journal-5938	99	27	.	.	PUNCT
american_scientific_journal-5938	100	1	the	the	DET
american_scientific_journal-5938	100	2	model‟s	model‟s	PROPN
american_scientific_journal-5938	100	3	configuration	configuration	NOUN
american_scientific_journal-5938	100	4	is	be	AUX
american_scientific_journal-5938	100	5	found	find	VERB
american_scientific_journal-5938	100	6	at	at	ADP
american_scientific_journal-5938	100	7	this	this	DET
american_scientific_journal-5938	100	8	github	github	PROPN
american_scientific_journal-5938	100	9	address	address	NOUN
american_scientific_journal-5938	100	10	:	:	PUNCT
american_scientific_journal-5938	100	11	https://github.com/armansarraf/cnn-classification-dogsvscats	https://github.com/armansarraf/cnn-classification-dogsvscat	NOUN
american_scientific_journal-5938	100	12	.	.	PUNCT
american_scientific_journal-5938	101	1	executing	execute	VERB
american_scientific_journal-5938	101	2	the	the	DET
american_scientific_journal-5938	101	3	script	script	NOUN
american_scientific_journal-5938	101	4	found	find	VERB
american_scientific_journal-5938	101	5	in	in	ADP
american_scientific_journal-5938	101	6	our	our	PRON
american_scientific_journal-5938	101	7	github	github	NOUN
american_scientific_journal-5938	101	8	allowed	allow	VERB
american_scientific_journal-5938	101	9	training	training	NOUN
american_scientific_journal-5938	101	10	to	to	PART
american_scientific_journal-5938	101	11	begin	begin	VERB
american_scientific_journal-5938	101	12	and	and	CCONJ
american_scientific_journal-5938	101	13	the	the	DET
american_scientific_journal-5938	101	14	models	model	NOUN
american_scientific_journal-5938	101	15	and	and	CCONJ
american_scientific_journal-5938	101	16	results	result	NOUN
american_scientific_journal-5938	101	17	to	to	PART
american_scientific_journal-5938	101	18	be	be	AUX
american_scientific_journal-5938	101	19	stored	store	VERB
american_scientific_journal-5938	101	20	on	on	ADP
american_scientific_journal-5938	101	21	the	the	DET
american_scientific_journal-5938	101	22	disk	disk	NOUN
american_scientific_journal-5938	101	23	.	.	PUNCT
american_scientific_journal-5938	102	1	upon	upon	SCONJ
american_scientific_journal-5938	102	2	the	the	DET
american_scientific_journal-5938	102	3	model	model	NOUN
american_scientific_journal-5938	102	4	constructions	construction	NOUN
american_scientific_journal-5938	102	5	,	,	PUNCT
american_scientific_journal-5938	102	6	information	information	NOUN
american_scientific_journal-5938	102	7	such	such	ADJ
american_scientific_journal-5938	102	8	as	as	ADP
american_scientific_journal-5938	102	9	efficiency	efficiency	NOUN
american_scientific_journal-5938	102	10	and	and	CCONJ
american_scientific_journal-5938	102	11	loss	loss	NOUN
american_scientific_journal-5938	102	12	appeared	appear	VERB
american_scientific_journal-5938	102	13	at	at	ADP
american_scientific_journal-5938	102	14	tensorboard	tensorboard	NOUN
american_scientific_journal-5938	102	15	until	until	SCONJ
american_scientific_journal-5938	102	16	the	the	DET
american_scientific_journal-5938	102	17	model	model	NOUN
american_scientific_journal-5938	102	18	was	be	AUX
american_scientific_journal-5938	102	19	completed	complete	VERB
american_scientific_journal-5938	102	20	and	and	CCONJ
american_scientific_journal-5938	102	21	stored	store	VERB
american_scientific_journal-5938	102	22	.	.	PUNCT
american_scientific_journal-5938	103	1	after	after	ADP
american_scientific_journal-5938	103	2	training	training	NOUN
american_scientific_journal-5938	103	3	,	,	PUNCT
american_scientific_journal-5938	103	4	eight	eight	NUM
american_scientific_journal-5938	103	5	different	different	ADJ
american_scientific_journal-5938	103	6	convolutional	convolutional	ADJ
american_scientific_journal-5938	103	7	neural	neural	ADJ
american_scientific_journal-5938	103	8	network	network	NOUN
american_scientific_journal-5938	103	9	models	model	NOUN
american_scientific_journal-5938	103	10	were	be	AUX
american_scientific_journal-5938	103	11	developed	develop	VERB
american_scientific_journal-5938	103	12	and	and	CCONJ
american_scientific_journal-5938	103	13	trained	train	VERB
american_scientific_journal-5938	103	14	,	,	PUNCT
american_scientific_journal-5938	103	15	where	where	SCONJ
american_scientific_journal-5938	103	16	four	four	NUM
american_scientific_journal-5938	103	17	of	of	ADP
american_scientific_journal-5938	103	18	them	they	PRON
american_scientific_journal-5938	103	19	receive	receive	VERB
american_scientific_journal-5938	103	20	an	an	DET
american_scientific_journal-5938	103	21	input	input	NOUN
american_scientific_journal-5938	103	22	size	size	NOUN
american_scientific_journal-5938	103	23	of	of	ADP
american_scientific_journal-5938	103	24	64	64	NUM
american_scientific_journal-5938	103	25	*	*	SYM
american_scientific_journal-5938	103	26	64	64	NUM
american_scientific_journal-5938	103	27	,	,	PUNCT
american_scientific_journal-5938	103	28	and	and	CCONJ
american_scientific_journal-5938	103	29	the	the	DET
american_scientific_journal-5938	103	30	other	other	ADJ
american_scientific_journal-5938	103	31	four	four	NUM
american_scientific_journal-5938	103	32	models	model	NOUN
american_scientific_journal-5938	103	33	accept	accept	VERB
american_scientific_journal-5938	103	34	an	an	DET
american_scientific_journal-5938	103	35	input	input	NOUN
american_scientific_journal-5938	103	36	size	size	NOUN
american_scientific_journal-5938	103	37	of	of	ADP
american_scientific_journal-5938	103	38	32	32	NUM
american_scientific_journal-5938	103	39	*	*	SYM
american_scientific_journal-5938	103	40	32	32	NUM
american_scientific_journal-5938	103	41	.	.	PUNCT
american_scientific_journal-5938	104	1	with	with	ADP
american_scientific_journal-5938	104	2	a	a	DET
american_scientific_journal-5938	104	3	few	few	ADJ
american_scientific_journal-5938	104	4	simple	simple	ADJ
american_scientific_journal-5938	104	5	command	command	NOUN
american_scientific_journal-5938	104	6	lines	line	NOUN
american_scientific_journal-5938	104	7	,	,	PUNCT
american_scientific_journal-5938	104	8	models	model	NOUN
american_scientific_journal-5938	104	9	could	could	AUX
american_scientific_journal-5938	104	10	be	be	AUX
american_scientific_journal-5938	104	11	called	call	VERB
american_scientific_journal-5938	104	12	,	,	PUNCT
american_scientific_journal-5938	104	13	and	and	CCONJ
american_scientific_journal-5938	104	14	we	we	PRON
american_scientific_journal-5938	104	15	could	could	AUX
american_scientific_journal-5938	104	16	run	run	VERB
american_scientific_journal-5938	104	17	them	they	PRON
american_scientific_journal-5938	104	18	for	for	ADP
american_scientific_journal-5938	104	19	testing	testing	NOUN
american_scientific_journal-5938	104	20	purposes	purpose	NOUN
american_scientific_journal-5938	104	21	.	.	PUNCT
american_scientific_journal-5938	105	1	to	to	PART
american_scientific_journal-5938	105	2	do	do	VERB
american_scientific_journal-5938	105	3	this	this	PRON
american_scientific_journal-5938	105	4	,	,	PUNCT
american_scientific_journal-5938	105	5	first	first	ADV
american_scientific_journal-5938	105	6	,	,	PUNCT
american_scientific_journal-5938	105	7	we	we	PRON
american_scientific_journal-5938	105	8	needed	need	VERB
american_scientific_journal-5938	105	9	to	to	PART
american_scientific_journal-5938	105	10	ensure	ensure	VERB
american_scientific_journal-5938	105	11	using	use	VERB
american_scientific_journal-5938	105	12	the	the	DET
american_scientific_journal-5938	105	13	correct	correct	ADJ
american_scientific_journal-5938	105	14	image	image	NOUN
american_scientific_journal-5938	105	15	size	size	NOUN
american_scientific_journal-5938	105	16	to	to	PART
american_scientific_journal-5938	105	17	input	input	VERB
american_scientific_journal-5938	105	18	the	the	DET
american_scientific_journal-5938	105	19	models	model	NOUN
american_scientific_journal-5938	105	20	whether	whether	SCONJ
american_scientific_journal-5938	105	21	we	we	PRON
american_scientific_journal-5938	105	22	want	want	VERB
american_scientific_journal-5938	105	23	to	to	PART
american_scientific_journal-5938	105	24	test	test	VERB
american_scientific_journal-5938	105	25	32	32	NUM
american_scientific_journal-5938	105	26	*	*	SYM
american_scientific_journal-5938	105	27	32	32	NUM
american_scientific_journal-5938	105	28	or	or	CCONJ
american_scientific_journal-5938	105	29	64	64	NUM
american_scientific_journal-5938	105	30	*	*	SYM
american_scientific_journal-5938	105	31	64	64	NUM
american_scientific_journal-5938	105	32	.	.	PUNCT
american_scientific_journal-5938	106	1	after	after	ADP
american_scientific_journal-5938	106	2	loading	load	VERB
american_scientific_journal-5938	106	3	the	the	DET
american_scientific_journal-5938	106	4	desired	desire	VERB
american_scientific_journal-5938	106	5	models	model	NOUN
american_scientific_journal-5938	106	6	,	,	PUNCT
american_scientific_journal-5938	106	7	the	the	DET
american_scientific_journal-5938	106	8	task	task	NOUN
american_scientific_journal-5938	106	9	was	be	AUX
american_scientific_journal-5938	106	10	to	to	PART
american_scientific_journal-5938	106	11	test	test	VERB
american_scientific_journal-5938	106	12	them	they	PRON
american_scientific_journal-5938	106	13	and	and	CCONJ
american_scientific_journal-5938	106	14	evaluate	evaluate	VERB
american_scientific_journal-5938	106	15	the	the	DET
american_scientific_journal-5938	106	16	accuracy	accuracy	NOUN
american_scientific_journal-5938	106	17	of	of	ADP
american_scientific_journal-5938	106	18	the	the	DET
american_scientific_journal-5938	106	19	prediction	prediction	NOUN
american_scientific_journal-5938	106	20	.	.	PUNCT
american_scientific_journal-5938	107	1	for	for	ADP
american_scientific_journal-5938	107	2	doing	do	VERB
american_scientific_journal-5938	107	3	this	this	DET
american_scientific_journal-5938	107	4	step	step	NOUN
american_scientific_journal-5938	107	5	,	,	PUNCT
american_scientific_journal-5938	107	6	we	we	PRON
american_scientific_journal-5938	107	7	need	need	VERB
american_scientific_journal-5938	107	8	the	the	DET
american_scientific_journal-5938	107	9	test	test	NOUN
american_scientific_journal-5938	107	10	datasets	dataset	NOUN
american_scientific_journal-5938	107	11	,	,	PUNCT
american_scientific_journal-5938	107	12	which	which	PRON
american_scientific_journal-5938	107	13	were	be	AUX
american_scientific_journal-5938	107	14	converted	convert	VERB
american_scientific_journal-5938	107	15	appropriately	appropriately	ADV
american_scientific_journal-5938	107	16	.	.	PUNCT
american_scientific_journal-5938	108	1	the	the	DET
american_scientific_journal-5938	108	2	first	first	ADJ
american_scientific_journal-5938	108	3	attempt	attempt	NOUN
american_scientific_journal-5938	108	4	was	be	AUX
american_scientific_journal-5938	108	5	to	to	PART
american_scientific_journal-5938	108	6	use	use	VERB
american_scientific_journal-5938	108	7	our	our	PRON
american_scientific_journal-5938	108	8	test	test	NOUN
american_scientific_journal-5938	108	9	data	datum	NOUN
american_scientific_journal-5938	108	10	,	,	PUNCT
american_scientific_journal-5938	108	11	which	which	PRON
american_scientific_journal-5938	108	12	had	have	VERB
american_scientific_journal-5938	108	13	2023	2023	NUM
american_scientific_journal-5938	108	14	samples	sample	NOUN
american_scientific_journal-5938	108	15	with	with	ADP
american_scientific_journal-5938	108	16	64	64	NUM
american_scientific_journal-5938	108	17	*	*	SYM
american_scientific_journal-5938	108	18	64	64	NUM
american_scientific_journal-5938	108	19	image	image	NOUN
american_scientific_journal-5938	108	20	sizes	size	NOUN
american_scientific_journal-5938	108	21	,	,	PUNCT
american_scientific_journal-5938	108	22	and	and	CCONJ
american_scientific_journal-5938	108	23	assigned	assign	VERB
american_scientific_journal-5938	108	24	it	it	PRON
american_scientific_journal-5938	108	25	to	to	ADP
american_scientific_journal-5938	108	26	the	the	DET
american_scientific_journal-5938	108	27	input	input	NOUN
american_scientific_journal-5938	108	28	variable	variable	NOUN
american_scientific_journal-5938	108	29	defined	define	VERB
american_scientific_journal-5938	108	30	as	as	ADP
american_scientific_journal-5938	108	31	„	„	PUNCT
american_scientific_journal-5938	108	32	x,‟	x,‟	X
american_scientific_journal-5938	108	33	and	and	CCONJ
american_scientific_journal-5938	108	34	then	then	ADV
american_scientific_journal-5938	108	35	convert	convert	VERB
american_scientific_journal-5938	108	36	them	they	PRON
american_scientific_journal-5938	108	37	into	into	ADP
american_scientific_journal-5938	108	38	matrix	matrix	NOUN
american_scientific_journal-5938	108	39	arrays	array	VERB
american_scientific_journal-5938	108	40	to	to	PART
american_scientific_journal-5938	108	41	be	be	AUX
american_scientific_journal-5938	108	42	acceptable	acceptable	ADJ
american_scientific_journal-5938	108	43	for	for	ADP
american_scientific_journal-5938	108	44	the	the	DET
american_scientific_journal-5938	108	45	models	model	NOUN
american_scientific_journal-5938	108	46	which	which	PRON
american_scientific_journal-5938	108	47	figure	figure	VERB
american_scientific_journal-5938	108	48	1	1	NUM
american_scientific_journal-5938	108	49	explains	explain	VERB
american_scientific_journal-5938	108	50	further	far	ADV
american_scientific_journal-5938	108	51	.	.	PUNCT
american_scientific_journal-5938	109	1	american	american	ADJ
american_scientific_journal-5938	109	2	scientific	scientific	ADJ
american_scientific_journal-5938	109	3	research	research	PROPN
american_scientific_journal-5938	109	4	journal	journal	NOUN
american_scientific_journal-5938	109	5	for	for	ADP
american_scientific_journal-5938	109	6	engineering	engineering	NOUN
american_scientific_journal-5938	109	7	,	,	PUNCT
american_scientific_journal-5938	109	8	technology	technology	NOUN
american_scientific_journal-5938	109	9	,	,	PUNCT
american_scientific_journal-5938	109	10	and	and	CCONJ
american_scientific_journal-5938	109	11	sciences	science	NOUN
american_scientific_journal-5938	109	12	(	(	PUNCT
american_scientific_journal-5938	109	13	asrjets	asrjet	NOUN
american_scientific_journal-5938	109	14	)	)	PUNCT
american_scientific_journal-5938	109	15	(	(	PUNCT
american_scientific_journal-5938	109	16	2020	2020	NUM
american_scientific_journal-5938	109	17	)	)	PUNCT
american_scientific_journal-5938	109	18	volume	volume	NOUN
american_scientific_journal-5938	109	19	68	68	NUM
american_scientific_journal-5938	109	20	,	,	PUNCT
american_scientific_journal-5938	109	21	no	no	DET
american_scientific_journal-5938	109	22	1	1	NUM
american_scientific_journal-5938	109	23	,	,	PUNCT
american_scientific_journal-5938	109	24	pp	pp	ADV
american_scientific_journal-5938	109	25	181	181	NUM
american_scientific_journal-5938	109	26	-	-	SYM
american_scientific_journal-5938	109	27	192	192	NUM
american_scientific_journal-5938	109	28	186	186	NUM
american_scientific_journal-5938	109	29	figure	figure	NOUN
american_scientific_journal-5938	109	30	1	1	NUM
american_scientific_journal-5938	109	31	:	:	PUNCT
american_scientific_journal-5938	109	32	converting	convert	VERB
american_scientific_journal-5938	109	33	inputs	input	NOUN
american_scientific_journal-5938	109	34	to	to	ADP
american_scientific_journal-5938	109	35	an	an	DET
american_scientific_journal-5938	109	36	understandable	understandable	ADJ
american_scientific_journal-5938	109	37	matrix	matrix	NOUN
american_scientific_journal-5938	109	38	number	number	NOUN
american_scientific_journal-5938	109	39	for	for	ADP
american_scientific_journal-5938	109	40	the	the	DET
american_scientific_journal-5938	109	41	neural	neural	ADJ
american_scientific_journal-5938	109	42	network	network	NOUN
american_scientific_journal-5938	109	43	then	then	ADV
american_scientific_journal-5938	109	44	,	,	PUNCT
american_scientific_journal-5938	109	45	the	the	DET
american_scientific_journal-5938	109	46	feature	feature	NOUN
american_scientific_journal-5938	109	47	vector	vector	NOUN
american_scientific_journal-5938	109	48	created	create	VERB
american_scientific_journal-5938	109	49	in	in	ADP
american_scientific_journal-5938	109	50	the	the	DET
american_scientific_journal-5938	109	51	previous	previous	ADJ
american_scientific_journal-5938	109	52	step	step	NOUN
american_scientific_journal-5938	109	53	was	be	AUX
american_scientific_journal-5938	109	54	to	to	PART
american_scientific_journal-5938	109	55	be	be	AUX
american_scientific_journal-5938	109	56	passed	pass	VERB
american_scientific_journal-5938	109	57	to	to	ADP
american_scientific_journal-5938	109	58	the	the	DET
american_scientific_journal-5938	109	59	model	model	NOUN
american_scientific_journal-5938	109	60	for	for	ADP
american_scientific_journal-5938	109	61	prediction	prediction	NOUN
american_scientific_journal-5938	109	62	purposes	purpose	NOUN
american_scientific_journal-5938	109	63	.	.	PUNCT
american_scientific_journal-5938	110	1	anaconda	anaconda	PROPN
american_scientific_journal-5938	110	2	provides	provide	VERB
american_scientific_journal-5938	110	3	all	all	DET
american_scientific_journal-5938	110	4	these	these	DET
american_scientific_journal-5938	110	5	features	feature	NOUN
american_scientific_journal-5938	110	6	required	require	VERB
american_scientific_journal-5938	110	7	to	to	ADP
american_scientific_journal-5938	110	8	users	user	NOUN
american_scientific_journal-5938	110	9	,	,	PUNCT
american_scientific_journal-5938	110	10	and	and	CCONJ
american_scientific_journal-5938	110	11	all	all	DET
american_scientific_journal-5938	110	12	the	the	DET
american_scientific_journal-5938	110	13	steps	step	NOUN
american_scientific_journal-5938	110	14	,	,	PUNCT
american_scientific_journal-5938	110	15	including	include	VERB
american_scientific_journal-5938	110	16	prediction	prediction	NOUN
american_scientific_journal-5938	110	17	and	and	CCONJ
american_scientific_journal-5938	110	18	verification	verification	NOUN
american_scientific_journal-5938	110	19	of	of	ADP
american_scientific_journal-5938	110	20	the	the	DET
american_scientific_journal-5938	110	21	prediction	prediction	NOUN
american_scientific_journal-5938	110	22	,	,	PUNCT
american_scientific_journal-5938	110	23	can	can	AUX
american_scientific_journal-5938	110	24	be	be	AUX
american_scientific_journal-5938	110	25	done	do	VERB
american_scientific_journal-5938	110	26	with	with	ADP
american_scientific_journal-5938	110	27	just	just	ADV
american_scientific_journal-5938	110	28	a	a	DET
american_scientific_journal-5938	110	29	few	few	ADJ
american_scientific_journal-5938	110	30	simple	simple	ADJ
american_scientific_journal-5938	110	31	command	command	NOUN
american_scientific_journal-5938	110	32	lines	line	NOUN
american_scientific_journal-5938	110	33	.	.	PUNCT
american_scientific_journal-5938	111	1	so	so	ADV
american_scientific_journal-5938	111	2	,	,	PUNCT
american_scientific_journal-5938	111	3	in	in	ADP
american_scientific_journal-5938	111	4	the	the	DET
american_scientific_journal-5938	111	5	last	last	ADJ
american_scientific_journal-5938	111	6	block	block	NOUN
american_scientific_journal-5938	111	7	,	,	PUNCT
american_scientific_journal-5938	111	8	we	we	PRON
american_scientific_journal-5938	111	9	implemented	implement	VERB
american_scientific_journal-5938	111	10	the	the	DET
american_scientific_journal-5938	111	11	prediction	prediction	NOUN
american_scientific_journal-5938	111	12	and	and	CCONJ
american_scientific_journal-5938	111	13	verification	verification	NOUN
american_scientific_journal-5938	111	14	codes	code	NOUN
american_scientific_journal-5938	111	15	to	to	PART
american_scientific_journal-5938	111	16	produce	produce	VERB
american_scientific_journal-5938	111	17	the	the	DET
american_scientific_journal-5938	111	18	predicted	predict	VERB
american_scientific_journal-5938	111	19	labels	label	NOUN
american_scientific_journal-5938	111	20	for	for	ADP
american_scientific_journal-5938	111	21	samples	sample	NOUN
american_scientific_journal-5938	111	22	.	.	PUNCT
american_scientific_journal-5938	112	1	the	the	DET
american_scientific_journal-5938	112	2	prediction	prediction	NOUN
american_scientific_journal-5938	112	3	module	module	NOUN
american_scientific_journal-5938	112	4	produced	produce	VERB
american_scientific_journal-5938	112	5	some	some	DET
american_scientific_journal-5938	112	6	information	information	NOUN
american_scientific_journal-5938	112	7	such	such	ADJ
american_scientific_journal-5938	112	8	as	as	ADP
american_scientific_journal-5938	112	9	accuracy	accuracy	NOUN
american_scientific_journal-5938	112	10	rates	rate	NOUN
american_scientific_journal-5938	112	11	,	,	PUNCT
american_scientific_journal-5938	112	12	loss	loss	NOUN
american_scientific_journal-5938	112	13	,	,	PUNCT
american_scientific_journal-5938	112	14	number	number	NOUN
american_scientific_journal-5938	112	15	of	of	ADP
american_scientific_journal-5938	112	16	samples	sample	NOUN
american_scientific_journal-5938	112	17	,	,	PUNCT
american_scientific_journal-5938	112	18	and	and	CCONJ
american_scientific_journal-5938	112	19	exactitude	exactitude	NOUN
american_scientific_journal-5938	112	20	of	of	ADP
american_scientific_journal-5938	112	21	each	each	DET
american_scientific_journal-5938	112	22	specific	specific	ADJ
american_scientific_journal-5938	112	23	dog	dog	NOUN
american_scientific_journal-5938	112	24	/	/	SYM
american_scientific_journal-5938	112	25	cat	cat	NOUN
american_scientific_journal-5938	112	26	prediction	prediction	NOUN
american_scientific_journal-5938	112	27	that	that	PRON
american_scientific_journal-5938	112	28	could	could	AUX
american_scientific_journal-5938	112	29	be	be	AUX
american_scientific_journal-5938	112	30	individually	individually	ADV
american_scientific_journal-5938	112	31	visible	visible	ADJ
american_scientific_journal-5938	112	32	and	and	CCONJ
american_scientific_journal-5938	112	33	is	be	AUX
american_scientific_journal-5938	112	34	shown	show	VERB
american_scientific_journal-5938	112	35	in	in	ADP
american_scientific_journal-5938	112	36	figure	figure	NOUN
american_scientific_journal-5938	112	37	2	2	NUM
american_scientific_journal-5938	112	38	.	.	PUNCT
american_scientific_journal-5938	112	39	figure	figure	VERB
american_scientific_journal-5938	112	40	2	2	NUM
american_scientific_journal-5938	112	41	:	:	PUNCT
american_scientific_journal-5938	112	42	efficiency	efficiency	NOUN
american_scientific_journal-5938	112	43	,	,	PUNCT
american_scientific_journal-5938	112	44	model	model	NOUN
american_scientific_journal-5938	112	45	performance	performance	NOUN
american_scientific_journal-5938	112	46	4	4	NUM
american_scientific_journal-5938	112	47	.	.	PUNCT
american_scientific_journal-5938	112	48	results	result	NOUN
american_scientific_journal-5938	112	49	&	&	CCONJ
american_scientific_journal-5938	112	50	discussion	discussion	NOUN
american_scientific_journal-5938	112	51	in	in	ADP
american_scientific_journal-5938	112	52	this	this	DET
american_scientific_journal-5938	112	53	step	step	NOUN
american_scientific_journal-5938	112	54	,	,	PUNCT
american_scientific_journal-5938	112	55	the	the	DET
american_scientific_journal-5938	112	56	predicted	predict	VERB
american_scientific_journal-5938	112	57	labels	label	NOUN
american_scientific_journal-5938	112	58	obtained	obtain	VERB
american_scientific_journal-5938	112	59	from	from	ADP
american_scientific_journal-5938	112	60	our	our	PRON
american_scientific_journal-5938	112	61	trained	train	VERB
american_scientific_journal-5938	112	62	models	model	NOUN
american_scientific_journal-5938	112	63	were	be	AUX
american_scientific_journal-5938	112	64	evaluated	evaluate	VERB
american_scientific_journal-5938	112	65	.	.	PUNCT
american_scientific_journal-5938	113	1	as	as	SCONJ
american_scientific_journal-5938	113	2	mentioned	mention	VERB
american_scientific_journal-5938	113	3	,	,	PUNCT
american_scientific_journal-5938	113	4	tensorflow	tensorflow	NOUN
american_scientific_journal-5938	113	5	facilitates	facilitate	VERB
american_scientific_journal-5938	113	6	the	the	DET
american_scientific_journal-5938	113	7	evaluation	evaluation	NOUN
american_scientific_journal-5938	113	8	process	process	NOUN
american_scientific_journal-5938	113	9	by	by	ADP
american_scientific_journal-5938	113	10	building	build	VERB
american_scientific_journal-5938	113	11	and	and	CCONJ
american_scientific_journal-5938	113	12	storing	store	VERB
american_scientific_journal-5938	113	13	figures	figure	NOUN
american_scientific_journal-5938	113	14	of	of	ADP
american_scientific_journal-5938	113	15	neural	neural	ADJ
american_scientific_journal-5938	113	16	network	network	NOUN
american_scientific_journal-5938	113	17	training	training	NOUN
american_scientific_journal-5938	113	18	steps	step	NOUN
american_scientific_journal-5938	113	19	for	for	ADP
american_scientific_journal-5938	113	20	all	all	DET
american_scientific_journal-5938	113	21	the	the	DET
american_scientific_journal-5938	113	22	models	model	NOUN
american_scientific_journal-5938	113	23	developed	develop	VERB
american_scientific_journal-5938	113	24	.	.	PUNCT
american_scientific_journal-5938	114	1	the	the	DET
american_scientific_journal-5938	114	2	results	result	NOUN
american_scientific_journal-5938	114	3	were	be	AUX
american_scientific_journal-5938	114	4	stored	store	VERB
american_scientific_journal-5938	114	5	by	by	ADP
american_scientific_journal-5938	114	6	tensorflow	tensorflow	NOUN
american_scientific_journal-5938	114	7	in	in	ADP
american_scientific_journal-5938	114	8	a	a	DET
american_scientific_journal-5938	114	9	new	new	ADJ
american_scientific_journal-5938	114	10	folder	folder	NOUN
american_scientific_journal-5938	114	11	so	so	ADV
american_scientific_journal-5938	114	12	-	-	PUNCT
american_scientific_journal-5938	114	13	called	call	VERB
american_scientific_journal-5938	114	14	“	"	PUNCT
american_scientific_journal-5938	114	15	log	log	NOUN
american_scientific_journal-5938	114	16	”	"	PUNCT
american_scientific_journal-5938	114	17	on	on	ADP
american_scientific_journal-5938	114	18	the	the	DET
american_scientific_journal-5938	114	19	disk	disk	NOUN
american_scientific_journal-5938	114	20	where	where	SCONJ
american_scientific_journal-5938	114	21	all	all	DET
american_scientific_journal-5938	114	22	models	model	NOUN
american_scientific_journal-5938	114	23	and	and	CCONJ
american_scientific_journal-5938	114	24	details	detail	NOUN
american_scientific_journal-5938	114	25	are	be	AUX
american_scientific_journal-5938	114	26	found	find	VERB
american_scientific_journal-5938	114	27	.	.	PUNCT
american_scientific_journal-5938	115	1	to	to	PART
american_scientific_journal-5938	115	2	load	load	VERB
american_scientific_journal-5938	115	3	the	the	DET
american_scientific_journal-5938	115	4	results	result	NOUN
american_scientific_journal-5938	115	5	created	create	VERB
american_scientific_journal-5938	115	6	by	by	ADP
american_scientific_journal-5938	115	7	tensorboard	tensorboard	NOUN
american_scientific_journal-5938	115	8	,	,	PUNCT
american_scientific_journal-5938	115	9	we	we	PRON
american_scientific_journal-5938	115	10	used	use	VERB
american_scientific_journal-5938	115	11	anaconda	anaconda	PROPN
american_scientific_journal-5938	115	12	commands	command	NOUN
american_scientific_journal-5938	115	13	in	in	ADP
american_scientific_journal-5938	115	14	the	the	DET
american_scientific_journal-5938	115	15	terminal	terminal	NOUN
american_scientific_journal-5938	115	16	,	,	PUNCT
american_scientific_journal-5938	115	17	such	such	ADJ
american_scientific_journal-5938	115	18	as	as	ADP
american_scientific_journal-5938	115	19	(	(	PUNCT
american_scientific_journal-5938	115	20	tensorboard	tensorboard	NOUN
american_scientific_journal-5938	115	21	-logdir	-logdir	NOUN
american_scientific_journal-5938	115	22	=	=	PUNCT
american_scientific_journal-5938	115	23	“	"	PUNCT
american_scientific_journal-5938	115	24	your	your	PRON
american_scientific_journal-5938	115	25	path	path	NOUN
american_scientific_journal-5938	115	26	file	file	NOUN
american_scientific_journal-5938	115	27	location	location	NOUN
american_scientific_journal-5938	115	28	”	"	PUNCT
american_scientific_journal-5938	115	29	)	)	PUNCT
american_scientific_journal-5938	115	30	,	,	PUNCT
american_scientific_journal-5938	115	31	which	which	PRON
american_scientific_journal-5938	115	32	is	be	AUX
american_scientific_journal-5938	115	33	your	your	PRON
american_scientific_journal-5938	115	34	file	file	NOUN
american_scientific_journal-5938	115	35	location	location	NOUN
american_scientific_journal-5938	115	36	in	in	ADP
american_scientific_journal-5938	115	37	the	the	DET
american_scientific_journal-5938	115	38	folder	folder	NOUN
american_scientific_journal-5938	115	39	that	that	PRON
american_scientific_journal-5938	115	40	tensorflow	tensorflow	NOUN
american_scientific_journal-5938	115	41	created	create	VERB
american_scientific_journal-5938	115	42	.	.	PUNCT
american_scientific_journal-5938	116	1	by	by	ADP
american_scientific_journal-5938	116	2	calling	call	VERB
american_scientific_journal-5938	116	3	such	such	ADJ
american_scientific_journal-5938	116	4	commands	command	NOUN
american_scientific_journal-5938	116	5	,	,	PUNCT
american_scientific_journal-5938	116	6	an	an	DET
american_scientific_journal-5938	116	7	ip	ip	ADJ
american_scientific_journal-5938	116	8	address	address	NOUN
american_scientific_journal-5938	116	9	was	be	AUX
american_scientific_journal-5938	116	10	generated	generate	VERB
american_scientific_journal-5938	116	11	where	where	SCONJ
american_scientific_journal-5938	116	12	users	user	NOUN
american_scientific_journal-5938	116	13	could	could	AUX
american_scientific_journal-5938	116	14	access	access	VERB
american_scientific_journal-5938	116	15	the	the	DET
american_scientific_journal-5938	116	16	results	result	NOUN
american_scientific_journal-5938	116	17	.	.	PUNCT
american_scientific_journal-5938	117	1	tensorflow	tensorflow	NOUN
american_scientific_journal-5938	117	2	has	have	AUX
american_scientific_journal-5938	117	3	created	create	VERB
american_scientific_journal-5938	117	4	the	the	DET
american_scientific_journal-5938	117	5	localhost	localhost	NOUN
american_scientific_journal-5938	117	6	to	to	PART
american_scientific_journal-5938	117	7	store	store	VERB
american_scientific_journal-5938	117	8	the	the	DET
american_scientific_journal-5938	117	9	results	result	NOUN
american_scientific_journal-5938	117	10	for	for	ADP
american_scientific_journal-5938	117	11	visualization	visualization	NOUN
american_scientific_journal-5938	117	12	purposes	purpose	NOUN
american_scientific_journal-5938	117	13	.	.	PUNCT
american_scientific_journal-5938	118	1	each	each	DET
american_scientific_journal-5938	118	2	model	model	NOUN
american_scientific_journal-5938	118	3	performance	performance	NOUN
american_scientific_journal-5938	118	4	included	include	VERB
american_scientific_journal-5938	118	5	two	two	NUM
american_scientific_journal-5938	118	6	prominent	prominent	ADJ
american_scientific_journal-5938	118	7	separate	separate	ADJ
american_scientific_journal-5938	118	8	figures	figure	NOUN
american_scientific_journal-5938	118	9	:	:	PUNCT
american_scientific_journal-5938	118	10	1accuracy	1accuracy	NUM
american_scientific_journal-5938	118	11	,	,	PUNCT
american_scientific_journal-5938	118	12	2loss	2loss	NUM
american_scientific_journal-5938	118	13	.	.	NOUN
american_scientific_journal-5938	119	1	we	we	PRON
american_scientific_journal-5938	119	2	illustrated	illustrate	VERB
american_scientific_journal-5938	119	3	each	each	DET
american_scientific_journal-5938	119	4	metric	metric	NOUN
american_scientific_journal-5938	119	5	separately	separately	ADV
american_scientific_journal-5938	119	6	and	and	CCONJ
american_scientific_journal-5938	119	7	individually	individually	ADV
american_scientific_journal-5938	119	8	.	.	PUNCT
american_scientific_journal-5938	120	1	in	in	ADP
american_scientific_journal-5938	120	2	figure	figure	NOUN
american_scientific_journal-5938	120	3	3	3	NUM
american_scientific_journal-5938	120	4	,	,	PUNCT
american_scientific_journal-5938	120	5	as	as	SCONJ
american_scientific_journal-5938	120	6	seen	see	VERB
american_scientific_journal-5938	120	7	,	,	PUNCT
american_scientific_journal-5938	120	8	the	the	DET
american_scientific_journal-5938	120	9	models‟	models‟	PROPN
american_scientific_journal-5938	120	10	information	information	NOUN
american_scientific_journal-5938	120	11	such	such	ADJ
american_scientific_journal-5938	120	12	as	as	ADP
american_scientific_journal-5938	120	13	efficiency	efficiency	NOUN
american_scientific_journal-5938	120	14	during	during	ADP
american_scientific_journal-5938	120	15	training	training	NOUN
american_scientific_journal-5938	120	16	and	and	CCONJ
american_scientific_journal-5938	120	17	testing	testing	NOUN
american_scientific_journal-5938	120	18	,	,	PUNCT
american_scientific_journal-5938	120	19	and	and	CCONJ
american_scientific_journal-5938	120	20	in	in	ADP
american_scientific_journal-5938	120	21	figure	figure	NOUN
american_scientific_journal-5938	120	22	4	4	NUM
american_scientific_journal-5938	120	23	accuracy	accuracy	NOUN
american_scientific_journal-5938	120	24	of	of	ADP
american_scientific_journal-5938	120	25	training	training	NOUN
american_scientific_journal-5938	120	26	of	of	ADP
american_scientific_journal-5938	120	27	the	the	DET
american_scientific_journal-5938	120	28	models	model	NOUN
american_scientific_journal-5938	120	29	are	be	AUX
american_scientific_journal-5938	120	30	shown	show	VERB
american_scientific_journal-5938	120	31	.	.	PUNCT
american_scientific_journal-5938	121	1	american	american	ADJ
american_scientific_journal-5938	121	2	scientific	scientific	ADJ
american_scientific_journal-5938	121	3	research	research	PROPN
american_scientific_journal-5938	121	4	journal	journal	NOUN
american_scientific_journal-5938	121	5	for	for	ADP
american_scientific_journal-5938	121	6	engineering	engineering	NOUN
american_scientific_journal-5938	121	7	,	,	PUNCT
american_scientific_journal-5938	121	8	technology	technology	NOUN
american_scientific_journal-5938	121	9	,	,	PUNCT
american_scientific_journal-5938	121	10	and	and	CCONJ
american_scientific_journal-5938	121	11	sciences	science	NOUN
american_scientific_journal-5938	121	12	(	(	PUNCT
american_scientific_journal-5938	121	13	asrjets	asrjet	NOUN
american_scientific_journal-5938	121	14	)	)	PUNCT
american_scientific_journal-5938	121	15	(	(	PUNCT
american_scientific_journal-5938	121	16	2020	2020	NUM
american_scientific_journal-5938	121	17	)	)	PUNCT
american_scientific_journal-5938	121	18	volume	volume	NOUN
american_scientific_journal-5938	121	19	68	68	NUM
american_scientific_journal-5938	121	20	,	,	PUNCT
american_scientific_journal-5938	121	21	no	no	DET
american_scientific_journal-5938	121	22	1	1	NUM
american_scientific_journal-5938	121	23	,	,	PUNCT
american_scientific_journal-5938	121	24	pp	pp	ADV
american_scientific_journal-5938	121	25	181	181	NUM
american_scientific_journal-5938	121	26	-	-	SYM
american_scientific_journal-5938	121	27	192	192	NUM
american_scientific_journal-5938	121	28	187	187	NUM
american_scientific_journal-5938	121	29	figure	figure	NOUN
american_scientific_journal-5938	121	30	3	3	NUM
american_scientific_journal-5938	121	31	:	:	PUNCT
american_scientific_journal-5938	121	32	models	model	NOUN
american_scientific_journal-5938	121	33	information	information	NOUN
american_scientific_journal-5938	121	34	such	such	ADJ
american_scientific_journal-5938	121	35	as	as	ADP
american_scientific_journal-5938	121	36	efficiency	efficiency	NOUN
american_scientific_journal-5938	121	37	during	during	ADP
american_scientific_journal-5938	121	38	training	training	NOUN
american_scientific_journal-5938	121	39	and	and	CCONJ
american_scientific_journal-5938	121	40	testing	testing	NOUN
american_scientific_journal-5938	121	41	,	,	PUNCT
american_scientific_journal-5938	121	42	number	number	NOUN
american_scientific_journal-5938	121	43	of	of	ADP
american_scientific_journal-5938	121	44	layers	layer	NOUN
american_scientific_journal-5938	121	45	,	,	PUNCT
american_scientific_journal-5938	121	46	size	size	NOUN
american_scientific_journal-5938	121	47	of	of	ADP
american_scientific_journal-5938	121	48	images	image	NOUN
american_scientific_journal-5938	121	49	,	,	PUNCT
american_scientific_journal-5938	121	50	with	with	ADP
american_scientific_journal-5938	121	51	dropout	dropout	NOUN
american_scientific_journal-5938	121	52	=	=	SYM
american_scientific_journal-5938	121	53	true	true	ADJ
american_scientific_journal-5938	121	54	,	,	PUNCT
american_scientific_journal-5938	121	55	without	without	ADP
american_scientific_journal-5938	121	56	dropout	dropout	NOUN
american_scientific_journal-5938	121	57	=	=	SYM
american_scientific_journal-5938	121	58	false	false	ADJ
american_scientific_journal-5938	121	59	are	be	AUX
american_scientific_journal-5938	121	60	visible	visible	ADJ
american_scientific_journal-5938	121	61	figure	figure	NOUN
american_scientific_journal-5938	121	62	4	4	NUM
american_scientific_journal-5938	121	63	:	:	PUNCT
american_scientific_journal-5938	121	64	accuracy	accuracy	NOUN
american_scientific_journal-5938	121	65	of	of	ADP
american_scientific_journal-5938	121	66	training	training	NOUN
american_scientific_journal-5938	121	67	,	,	PUNCT
american_scientific_journal-5938	121	68	number	number	NOUN
american_scientific_journal-5938	121	69	of	of	ADP
american_scientific_journal-5938	121	70	layers	layer	NOUN
american_scientific_journal-5938	121	71	,	,	PUNCT
american_scientific_journal-5938	121	72	size	size	NOUN
american_scientific_journal-5938	121	73	of	of	ADP
american_scientific_journal-5938	121	74	images	image	NOUN
american_scientific_journal-5938	121	75	,	,	PUNCT
american_scientific_journal-5938	121	76	with	with	ADP
american_scientific_journal-5938	121	77	dropout	dropout	NOUN
american_scientific_journal-5938	121	78	=	=	SYM
american_scientific_journal-5938	121	79	true	true	ADJ
american_scientific_journal-5938	121	80	,	,	PUNCT
american_scientific_journal-5938	121	81	without	without	ADP
american_scientific_journal-5938	121	82	dropout	dropout	NOUN
american_scientific_journal-5938	121	83	=	=	SYM
american_scientific_journal-5938	121	84	false	false	NOUN
american_scientific_journal-5938	121	85	are	be	AUX
american_scientific_journal-5938	121	86	shown	show	VERB
american_scientific_journal-5938	121	87	as	as	SCONJ
american_scientific_journal-5938	121	88	shown	show	VERB
american_scientific_journal-5938	121	89	in	in	ADP
american_scientific_journal-5938	121	90	the	the	DET
american_scientific_journal-5938	121	91	figures	figure	NOUN
american_scientific_journal-5938	121	92	above	above	ADV
american_scientific_journal-5938	121	93	,	,	PUNCT
american_scientific_journal-5938	121	94	using	use	VERB
american_scientific_journal-5938	121	95	the	the	DET
american_scientific_journal-5938	121	96	dropout	dropout	NOUN
american_scientific_journal-5938	121	97	technique	technique	NOUN
american_scientific_journal-5938	121	98	,	,	PUNCT
american_scientific_journal-5938	121	99	the	the	DET
american_scientific_journal-5938	121	100	model‟s	model‟s	NOUN
american_scientific_journal-5938	121	101	performance	performance	NOUN
american_scientific_journal-5938	121	102	was	be	AUX
american_scientific_journal-5938	121	103	improved	improve	VERB
american_scientific_journal-5938	121	104	to	to	ADP
american_scientific_journal-5938	121	105	some	some	DET
american_scientific_journal-5938	121	106	extent	extent	NOUN
american_scientific_journal-5938	121	107	,	,	PUNCT
american_scientific_journal-5938	121	108	and	and	CCONJ
american_scientific_journal-5938	121	109	loss	loss	NOUN
american_scientific_journal-5938	121	110	was	be	AUX
american_scientific_journal-5938	121	111	reduced	reduce	VERB
american_scientific_journal-5938	121	112	.	.	PUNCT
american_scientific_journal-5938	122	1	therefore	therefore	ADV
american_scientific_journal-5938	122	2	,	,	PUNCT
american_scientific_journal-5938	122	3	using	use	VERB
american_scientific_journal-5938	122	4	and	and	CCONJ
american_scientific_journal-5938	122	5	applying	apply	VERB
american_scientific_journal-5938	122	6	the	the	DET
american_scientific_journal-5938	122	7	dropout	dropout	NOUN
american_scientific_journal-5938	122	8	technique	technique	NOUN
american_scientific_journal-5938	122	9	during	during	ADP
american_scientific_journal-5938	122	10	training	training	NOUN
american_scientific_journal-5938	122	11	models	model	NOUN
american_scientific_journal-5938	122	12	enabled	enable	VERB
american_scientific_journal-5938	122	13	us	we	PRON
american_scientific_journal-5938	122	14	to	to	PART
american_scientific_journal-5938	122	15	increase	increase	VERB
american_scientific_journal-5938	122	16	the	the	DET
american_scientific_journal-5938	122	17	performance	performance	NOUN
american_scientific_journal-5938	122	18	of	of	ADP
american_scientific_journal-5938	122	19	the	the	DET
american_scientific_journal-5938	122	20	models	model	NOUN
american_scientific_journal-5938	122	21	.	.	PUNCT
american_scientific_journal-5938	123	1	the	the	DET
american_scientific_journal-5938	123	2	information	information	NOUN
american_scientific_journal-5938	123	3	was	be	AUX
american_scientific_journal-5938	123	4	extracted	extract	VERB
american_scientific_journal-5938	123	5	from	from	ADP
american_scientific_journal-5938	123	6	each	each	DET
american_scientific_journal-5938	123	7	model	model	NOUN
american_scientific_journal-5938	123	8	,	,	PUNCT
american_scientific_journal-5938	123	9	figure	figure	NOUN
american_scientific_journal-5938	123	10	0	0	NUM
american_scientific_journal-5938	124	1	.9	.9	NUM
american_scientific_journal-5938	124	2	9	9	NUM
american_scientific_journal-5938	124	3	7	7	NUM
american_scientific_journal-5938	124	4	2	2	NUM
american_scientific_journal-5938	124	5	0	0	NUM
american_scientific_journal-5938	124	6	.9	.9	NUM
american_scientific_journal-5938	124	7	9	9	NUM
american_scientific_journal-5938	124	8	4	4	NUM
american_scientific_journal-5938	124	9	3	3	NUM
american_scientific_journal-5938	124	10	0	0	NUM
american_scientific_journal-5938	124	11	.9	.9	NUM
american_scientific_journal-5938	124	12	9	9	NUM
american_scientific_journal-5938	124	13	8	8	NUM
american_scientific_journal-5938	124	14	9	9	NUM
american_scientific_journal-5938	124	15	0	0	NUM
american_scientific_journal-5938	124	16	.9	.9	NUM
american_scientific_journal-5938	124	17	9	9	NUM
american_scientific_journal-5938	124	18	8	8	NUM
american_scientific_journal-5938	124	19	0	0	NUM
american_scientific_journal-5938	124	20	0	0	NUM
american_scientific_journal-5938	125	1	.9	.9	NUM
american_scientific_journal-5938	125	2	9	9	NUM
american_scientific_journal-5938	125	3	9	9	NUM
american_scientific_journal-5938	125	4	2	2	NUM
american_scientific_journal-5938	125	5	0	0	NUM
american_scientific_journal-5938	125	6	.9	.9	NUM
american_scientific_journal-5938	125	7	9	9	NUM
american_scientific_journal-5938	125	8	9	9	NUM
american_scientific_journal-5938	125	9	7	7	NUM
american_scientific_journal-5938	125	10	0	0	NUM
american_scientific_journal-5938	125	11	.5	.5	NUM
american_scientific_journal-5938	125	12	1	1	NUM
american_scientific_journal-5938	125	13	5	5	NUM
american_scientific_journal-5938	125	14	3	3	NUM
american_scientific_journal-5938	125	15	0	0	NUM
american_scientific_journal-5938	125	16	.5	.5	NUM
american_scientific_journal-5938	125	17	1	1	NUM
american_scientific_journal-5938	125	18	4	4	NUM
american_scientific_journal-5938	125	19	9	9	NUM
american_scientific_journal-5938	125	20	0	0	NUM
american_scientific_journal-5938	125	21	.9	.9	NUM
american_scientific_journal-5938	125	22	7	7	NUM
american_scientific_journal-5938	125	23	2	2	NUM
american_scientific_journal-5938	125	24	4	4	NUM
american_scientific_journal-5938	125	25	0	0	NUM
american_scientific_journal-5938	125	26	.9	.9	NUM
american_scientific_journal-5938	125	27	6	6	NUM
american_scientific_journal-5938	125	28	9	9	NUM
american_scientific_journal-5938	125	29	4	4	NUM
american_scientific_journal-5938	125	30	0	0	NUM
american_scientific_journal-5938	125	31	.9	.9	NUM
american_scientific_journal-5938	125	32	8	8	NUM
american_scientific_journal-5938	125	33	2	2	NUM
american_scientific_journal-5938	125	34	7	7	NUM
american_scientific_journal-5938	125	35	0	0	NUM
american_scientific_journal-5938	125	36	.9	.9	NUM
american_scientific_journal-5938	125	37	7	7	NUM
american_scientific_journal-5938	125	38	2	2	NUM
american_scientific_journal-5938	125	39	3	3	NUM
american_scientific_journal-5938	125	40	0	0	NUM
american_scientific_journal-5938	125	41	.9	.9	NUM
american_scientific_journal-5938	125	42	9	9	NUM
american_scientific_journal-5938	125	43	2	2	NUM
american_scientific_journal-5938	125	44	6	6	NUM
american_scientific_journal-5938	125	45	0	0	NUM
american_scientific_journal-5938	125	46	.9	.9	NUM
american_scientific_journal-5938	126	1	6	6	NUM
american_scientific_journal-5938	126	2	9	9	NUM
american_scientific_journal-5938	126	3	4	4	NUM
american_scientific_journal-5938	126	4	0	0	NUM
american_scientific_journal-5938	127	1	.4	.4	NUM
american_scientific_journal-5938	127	2	9	9	NUM
american_scientific_journal-5938	127	3	9	9	NUM
american_scientific_journal-5938	127	4	8	8	NUM
american_scientific_journal-5938	127	5	0	0	NUM
american_scientific_journal-5938	127	6	.4	.4	NUM
american_scientific_journal-5938	127	7	9	9	NUM
american_scientific_journal-5938	127	8	9	9	NUM
american_scientific_journal-5938	127	9	8	8	NUM
american_scientific_journal-5938	127	10	0	0	NUM
american_scientific_journal-5938	127	11	0.1	0.1	NUM
american_scientific_journal-5938	127	12	0.2	0.2	NUM
american_scientific_journal-5938	127	13	0.3	0.3	NUM
american_scientific_journal-5938	127	14	0.4	0.4	NUM
american_scientific_journal-5938	127	15	0.5	0.5	NUM
american_scientific_journal-5938	127	16	0.6	0.6	NUM
american_scientific_journal-5938	127	17	0.7	0.7	NUM
american_scientific_journal-5938	127	18	0.8	0.8	NUM
american_scientific_journal-5938	127	19	0.9	0.9	NUM
american_scientific_journal-5938	127	20	1	1	NUM
american_scientific_journal-5938	127	21	2,32,true	2,32,true	NUM
american_scientific_journal-5938	127	22	2,32,false	2,32,false	NUM
american_scientific_journal-5938	127	23	2,64,true	2,64,true	NUM
american_scientific_journal-5938	127	24	2,64,false	2,64,false	NUM
american_scientific_journal-5938	128	1	3,32,true	3,32,true	NUM
american_scientific_journal-5938	128	2	*	*	SYM
american_scientific_journal-5938	128	3	3,32,false	3,32,false	NUM
american_scientific_journal-5938	128	4	3,64,true	3,64,true	NUM
american_scientific_journal-5938	128	5	3,64,false	3,64,false	NUM
american_scientific_journal-5938	128	6	a	a	PRON
american_scientific_journal-5938	128	7	c	c	NOUN
american_scientific_journal-5938	128	8	c	c	NOUN
american_scientific_journal-5938	128	9	u	u	NOUN
american_scientific_journal-5938	128	10	r	r	NOUN
american_scientific_journal-5938	128	11	a	a	NOUN
american_scientific_journal-5938	128	12	c	c	NOUN
american_scientific_journal-5938	128	13	y	y	PROPN
american_scientific_journal-5938	128	14	r	r	NOUN
american_scientific_journal-5938	128	15	a	a	DET
american_scientific_journal-5938	128	16	te	te	PROPN
american_scientific_journal-5938	128	17	s	s	NOUN
american_scientific_journal-5938	128	18	models	model	NOUN
american_scientific_journal-5938	128	19	cnn	cnn	PROPN
american_scientific_journal-5938	128	20	models	model	VERB
american_scientific_journal-5938	128	21	training	training	NOUN
american_scientific_journal-5938	128	22	testing	testing	NOUN
american_scientific_journal-5938	128	23	0	0	NUM
american_scientific_journal-5938	128	24	.9	.9	NUM
american_scientific_journal-5938	128	25	9	9	NUM
american_scientific_journal-5938	128	26	7	7	NUM
american_scientific_journal-5938	128	27	2	2	NUM
american_scientific_journal-5938	128	28	0	0	NUM
american_scientific_journal-5938	128	29	.9	.9	NUM
american_scientific_journal-5938	128	30	9	9	NUM
american_scientific_journal-5938	128	31	4	4	NUM
american_scientific_journal-5938	128	32	3	3	NUM
american_scientific_journal-5938	128	33	0	0	NUM
american_scientific_journal-5938	128	34	.9	.9	NUM
american_scientific_journal-5938	128	35	9	9	NUM
american_scientific_journal-5938	128	36	8	8	NUM
american_scientific_journal-5938	128	37	9	9	NUM
american_scientific_journal-5938	128	38	0	0	NUM
american_scientific_journal-5938	128	39	.9	.9	NUM
american_scientific_journal-5938	128	40	9	9	NUM
american_scientific_journal-5938	128	41	8	8	NUM
american_scientific_journal-5938	128	42	0	0	NUM
american_scientific_journal-5938	128	43	.9	.9	NUM
american_scientific_journal-5938	128	44	9	9	NUM
american_scientific_journal-5938	128	45	9	9	NUM
american_scientific_journal-5938	128	46	2	2	NUM
american_scientific_journal-5938	128	47	0	0	NUM
american_scientific_journal-5938	128	48	.9	.9	NUM
american_scientific_journal-5938	128	49	9	9	NUM
american_scientific_journal-5938	128	50	9	9	NUM
american_scientific_journal-5938	128	51	7	7	NUM
american_scientific_journal-5938	128	52	0	0	NUM
american_scientific_journal-5938	128	53	.5	.5	NUM
american_scientific_journal-5938	128	54	1	1	NUM
american_scientific_journal-5938	128	55	5	5	NUM
american_scientific_journal-5938	128	56	3	3	NUM
american_scientific_journal-5938	128	57	0	0	NUM
american_scientific_journal-5938	128	58	.5	.5	NUM
american_scientific_journal-5938	128	59	1	1	NUM
american_scientific_journal-5938	128	60	4	4	NUM
american_scientific_journal-5938	128	61	9	9	NUM
american_scientific_journal-5938	128	62	0	0	NUM
american_scientific_journal-5938	128	63	0.1	0.1	NUM
american_scientific_journal-5938	128	64	0.2	0.2	NUM
american_scientific_journal-5938	128	65	0.3	0.3	NUM
american_scientific_journal-5938	128	66	0.4	0.4	NUM
american_scientific_journal-5938	128	67	0.5	0.5	NUM
american_scientific_journal-5938	128	68	0.6	0.6	NUM
american_scientific_journal-5938	128	69	0.7	0.7	NUM
american_scientific_journal-5938	128	70	0.8	0.8	NUM
american_scientific_journal-5938	128	71	0.9	0.9	NUM
american_scientific_journal-5938	128	72	1	1	NUM
american_scientific_journal-5938	128	73	2,32,true	2,32,true	NUM
american_scientific_journal-5938	128	74	2,32,false	2,32,false	NUM
american_scientific_journal-5938	128	75	2,64,true	2,64,true	NUM
american_scientific_journal-5938	128	76	2,64,false	2,64,false	NUM
american_scientific_journal-5938	128	77	3,32,true	3,32,true	NUM
american_scientific_journal-5938	128	78	3,32,false	3,32,false	NUM
american_scientific_journal-5938	128	79	3,64,true	3,64,true	NUM
american_scientific_journal-5938	128	80	3,64,false	3,64,false	NUM
american_scientific_journal-5938	128	81	a	a	DET
american_scientific_journal-5938	128	82	c	c	NOUN
american_scientific_journal-5938	128	83	c	c	NOUN
american_scientific_journal-5938	128	84	u	u	NOUN
american_scientific_journal-5938	128	85	r	r	NOUN
american_scientific_journal-5938	128	86	a	a	NOUN
american_scientific_journal-5938	128	87	c	c	NOUN
american_scientific_journal-5938	128	88	y	y	PROPN
american_scientific_journal-5938	128	89	r	r	NOUN
american_scientific_journal-5938	128	90	a	a	DET
american_scientific_journal-5938	128	91	te	te	PROPN
american_scientific_journal-5938	128	92	s	s	NOUN
american_scientific_journal-5938	128	93	models	model	NOUN
american_scientific_journal-5938	128	94	cnn	cnn	PROPN
american_scientific_journal-5938	128	95	models	model	NOUN
american_scientific_journal-5938	128	96	training	train	VERB
american_scientific_journal-5938	128	97	american	american	ADJ
american_scientific_journal-5938	128	98	scientific	scientific	ADJ
american_scientific_journal-5938	128	99	research	research	NOUN
american_scientific_journal-5938	128	100	journal	journal	NOUN
american_scientific_journal-5938	128	101	for	for	ADP
american_scientific_journal-5938	128	102	engineering	engineering	NOUN
american_scientific_journal-5938	128	103	,	,	PUNCT
american_scientific_journal-5938	128	104	technology	technology	NOUN
american_scientific_journal-5938	128	105	,	,	PUNCT
american_scientific_journal-5938	128	106	and	and	CCONJ
american_scientific_journal-5938	128	107	sciences	science	NOUN
american_scientific_journal-5938	128	108	(	(	PUNCT
american_scientific_journal-5938	128	109	asrjets	asrjet	NOUN
american_scientific_journal-5938	128	110	)	)	PUNCT
american_scientific_journal-5938	128	111	(	(	PUNCT
american_scientific_journal-5938	128	112	2020	2020	NUM
american_scientific_journal-5938	128	113	)	)	PUNCT
american_scientific_journal-5938	128	114	volume	volume	NOUN
american_scientific_journal-5938	128	115	68	68	NUM
american_scientific_journal-5938	128	116	,	,	PUNCT
american_scientific_journal-5938	128	117	no	no	DET
american_scientific_journal-5938	128	118	1	1	NUM
american_scientific_journal-5938	128	119	,	,	PUNCT
american_scientific_journal-5938	128	120	pp	pp	ADV
american_scientific_journal-5938	128	121	181	181	NUM
american_scientific_journal-5938	128	122	-	-	SYM
american_scientific_journal-5938	128	123	192	192	NUM
american_scientific_journal-5938	128	124	188	188	NUM
american_scientific_journal-5938	128	125	3	3	NUM
american_scientific_journal-5938	128	126	,	,	PUNCT
american_scientific_journal-5938	128	127	and	and	CCONJ
american_scientific_journal-5938	128	128	the	the	DET
american_scientific_journal-5938	128	129	models	model	NOUN
american_scientific_journal-5938	128	130	were	be	AUX
american_scientific_journal-5938	128	131	compared	compare	VERB
american_scientific_journal-5938	128	132	.	.	PUNCT
american_scientific_journal-5938	129	1	the	the	DET
american_scientific_journal-5938	129	2	results	result	NOUN
american_scientific_journal-5938	129	3	indicated	indicate	VERB
american_scientific_journal-5938	129	4	that	that	SCONJ
american_scientific_journal-5938	129	5	the	the	DET
american_scientific_journal-5938	129	6	best	good	ADJ
american_scientific_journal-5938	129	7	model	model	NOUN
american_scientific_journal-5938	129	8	with	with	ADP
american_scientific_journal-5938	129	9	the	the	DET
american_scientific_journal-5938	129	10	highest	high	ADJ
american_scientific_journal-5938	129	11	performance	performance	NOUN
american_scientific_journal-5938	129	12	refers	refer	VERB
american_scientific_journal-5938	129	13	to	to	ADP
american_scientific_journal-5938	129	14	a	a	DET
american_scientific_journal-5938	129	15	three	three	NUM
american_scientific_journal-5938	129	16	-	-	PUNCT
american_scientific_journal-5938	129	17	layer	layer	NOUN
american_scientific_journal-5938	129	18	model	model	NOUN
american_scientific_journal-5938	129	19	of	of	ADP
american_scientific_journal-5938	129	20	32x32	32x32	NUM
american_scientific_journal-5938	129	21	input	input	NOUN
american_scientific_journal-5938	129	22	size	size	NOUN
american_scientific_journal-5938	129	23	with	with	ADP
american_scientific_journal-5938	129	24	dropout	dropout	NOUN
american_scientific_journal-5938	129	25	,	,	PUNCT
american_scientific_journal-5938	129	26	and	and	CCONJ
american_scientific_journal-5938	129	27	it	it	PRON
american_scientific_journal-5938	129	28	was	be	AUX
american_scientific_journal-5938	129	29	marked	mark	VERB
american_scientific_journal-5938	129	30	with	with	ADP
american_scientific_journal-5938	129	31	an	an	DET
american_scientific_journal-5938	129	32	asterix	asterix	NOUN
american_scientific_journal-5938	129	33	.	.	PUNCT
american_scientific_journal-5938	130	1	figure	figure	VERB
american_scientific_journal-5938	130	2	5	5	NUM
american_scientific_journal-5938	130	3	and	and	CCONJ
american_scientific_journal-5938	130	4	figure	figure	VERB
american_scientific_journal-5938	130	5	6	6	NUM
american_scientific_journal-5938	130	6	illustrated	illustrate	VERB
american_scientific_journal-5938	130	7	the	the	DET
american_scientific_journal-5938	130	8	best	good	ADJ
american_scientific_journal-5938	130	9	model	model	NOUN
american_scientific_journal-5938	130	10	details	detail	NOUN
american_scientific_journal-5938	130	11	.	.	PUNCT
american_scientific_journal-5938	131	1	figure	figure	VERB
american_scientific_journal-5938	131	2	5	5	NUM
american_scientific_journal-5938	131	3	:	:	PUNCT
american_scientific_journal-5938	131	4	this	this	DET
american_scientific_journal-5938	131	5	figure	figure	NOUN
american_scientific_journal-5938	131	6	shows	show	VERB
american_scientific_journal-5938	131	7	the	the	DET
american_scientific_journal-5938	131	8	accuracy	accuracy	NOUN
american_scientific_journal-5938	131	9	rate	rate	NOUN
american_scientific_journal-5938	131	10	for	for	ADP
american_scientific_journal-5938	131	11	the	the	DET
american_scientific_journal-5938	131	12	three	three	NUM
american_scientific_journal-5938	131	13	-	-	PUNCT
american_scientific_journal-5938	131	14	layer	layer	NOUN
american_scientific_journal-5938	131	15	model	model	NOUN
american_scientific_journal-5938	131	16	with	with	ADP
american_scientific_journal-5938	131	17	a	a	DET
american_scientific_journal-5938	131	18	size	size	NOUN
american_scientific_journal-5938	131	19	of	of	ADP
american_scientific_journal-5938	131	20	32	32	NUM
american_scientific_journal-5938	131	21	x	x	SYM
american_scientific_journal-5938	131	22	32	32	NUM
american_scientific_journal-5938	131	23	and	and	CCONJ
american_scientific_journal-5938	131	24	using	use	VERB
american_scientific_journal-5938	131	25	dropout	dropout	NOUN
american_scientific_journal-5938	131	26	.	.	PUNCT
american_scientific_journal-5938	132	1	as	as	SCONJ
american_scientific_journal-5938	132	2	is	be	AUX
american_scientific_journal-5938	132	3	shown	show	VERB
american_scientific_journal-5938	132	4	in	in	ADP
american_scientific_journal-5938	132	5	figure	figure	NOUN
american_scientific_journal-5938	132	6	,	,	PUNCT
american_scientific_journal-5938	132	7	after	after	SCONJ
american_scientific_journal-5938	132	8	the	the	DET
american_scientific_journal-5938	132	9	11.250k	11.250k	NUM
american_scientific_journal-5938	132	10	training	training	NOUN
american_scientific_journal-5938	132	11	step	step	NOUN
american_scientific_journal-5938	132	12	performance	performance	NOUN
american_scientific_journal-5938	132	13	reached	reach	VERB
american_scientific_journal-5938	132	14	0.992	0.992	NUM
american_scientific_journal-5938	132	15	%	%	NOUN
american_scientific_journal-5938	132	16	and	and	CCONJ
american_scientific_journal-5938	132	17	outcomes	outcome	NOUN
american_scientific_journal-5938	132	18	are	be	AUX
american_scientific_journal-5938	132	19	ideal	ideal	ADJ
american_scientific_journal-5938	132	20	and	and	CCONJ
american_scientific_journal-5938	132	21	acceptable	acceptable	ADJ
american_scientific_journal-5938	132	22	figure	figure	NOUN
american_scientific_journal-5938	132	23	6	6	NUM
american_scientific_journal-5938	132	24	:	:	PUNCT
american_scientific_journal-5938	132	25	this	this	DET
american_scientific_journal-5938	132	26	figure	figure	NOUN
american_scientific_journal-5938	132	27	shows	show	VERB
american_scientific_journal-5938	132	28	the	the	DET
american_scientific_journal-5938	132	29	loss	loss	NOUN
american_scientific_journal-5938	132	30	of	of	ADP
american_scientific_journal-5938	132	31	the	the	DET
american_scientific_journal-5938	132	32	model	model	NOUN
american_scientific_journal-5938	132	33	,	,	PUNCT
american_scientific_journal-5938	132	34	which	which	PRON
american_scientific_journal-5938	132	35	in	in	ADP
american_scientific_journal-5938	132	36	step	step	NOUN
american_scientific_journal-5938	132	37	11.250k	11.250k	NUM
american_scientific_journal-5938	132	38	training	training	NOUN
american_scientific_journal-5938	132	39	is	be	AUX
american_scientific_journal-5938	132	40	completed	complete	VERB
american_scientific_journal-5938	132	41	,	,	PUNCT
american_scientific_journal-5938	132	42	and	and	CCONJ
american_scientific_journal-5938	132	43	the	the	DET
american_scientific_journal-5938	132	44	loss	loss	NOUN
american_scientific_journal-5938	132	45	value	value	NOUN
american_scientific_journal-5938	132	46	of	of	ADP
american_scientific_journal-5938	132	47	all	all	DET
american_scientific_journal-5938	132	48	samples	sample	NOUN
american_scientific_journal-5938	132	49	is	be	AUX
american_scientific_journal-5938	132	50	negligible	negligible	ADJ
american_scientific_journal-5938	132	51	.	.	PUNCT
american_scientific_journal-5938	133	1	batch_size	batch_size	NOUN
american_scientific_journal-5938	133	2	was	be	AUX
american_scientific_journal-5938	133	3	undefined	undefined	ADJ
american_scientific_journal-5938	133	4	during	during	ADP
american_scientific_journal-5938	133	5	this	this	DET
american_scientific_journal-5938	133	6	project	project	NOUN
american_scientific_journal-5938	133	7	,	,	PUNCT
american_scientific_journal-5938	133	8	so	so	CCONJ
american_scientific_journal-5938	133	9	its	its	PRON
american_scientific_journal-5938	133	10	number	number	NOUN
american_scientific_journal-5938	133	11	was	be	AUX
american_scientific_journal-5938	133	12	used	use	VERB
american_scientific_journal-5938	133	13	by	by	ADP
american_scientific_journal-5938	133	14	default	default	NOUN
american_scientific_journal-5938	133	15	settings	setting	NOUN
american_scientific_journal-5938	133	16	,	,	PUNCT
american_scientific_journal-5938	133	17	and	and	CCONJ
american_scientific_journal-5938	133	18	the	the	DET
american_scientific_journal-5938	133	19	cause	cause	NOUN
american_scientific_journal-5938	133	20	of	of	ADP
american_scientific_journal-5938	133	21	3	3	NUM
american_scientific_journal-5938	133	22	jumps	jump	NOUN
american_scientific_journal-5938	133	23	explains	explain	VERB
american_scientific_journal-5938	133	24	by	by	ADP
american_scientific_journal-5938	133	25	this	this	DET
american_scientific_journal-5938	133	26	accident	accident	NOUN
american_scientific_journal-5938	133	27	which	which	PRON
american_scientific_journal-5938	133	28	is	be	AUX
american_scientific_journal-5938	133	29	a	a	DET
american_scientific_journal-5938	133	30	normal	normal	ADJ
american_scientific_journal-5938	133	31	process	process	NOUN
american_scientific_journal-5938	133	32	and	and	CCONJ
american_scientific_journal-5938	133	33	has	have	VERB
american_scientific_journal-5938	133	34	no	no	DET
american_scientific_journal-5938	133	35	negative	negative	ADJ
american_scientific_journal-5938	133	36	impact	impact	NOUN
american_scientific_journal-5938	133	37	last	last	ADJ
american_scientific_journal-5938	133	38	but	but	CCONJ
american_scientific_journal-5938	133	39	not	not	PART
american_scientific_journal-5938	133	40	least	least	ADJ
american_scientific_journal-5938	133	41	,	,	PUNCT
american_scientific_journal-5938	133	42	table	table	NOUN
american_scientific_journal-5938	133	43	2	2	NUM
american_scientific_journal-5938	133	44	provided	provide	VERB
american_scientific_journal-5938	133	45	the	the	DET
american_scientific_journal-5938	133	46	classification	classification	NOUN
american_scientific_journal-5938	133	47	report	report	NOUN
american_scientific_journal-5938	133	48	for	for	ADP
american_scientific_journal-5938	133	49	the	the	DET
american_scientific_journal-5938	133	50	testing	testing	NOUN
american_scientific_journal-5938	133	51	dataset	dataset	VERB
american_scientific_journal-5938	133	52	for	for	ADP
american_scientific_journal-5938	133	53	the	the	DET
american_scientific_journal-5938	133	54	“	"	PUNCT
american_scientific_journal-5938	133	55	three	three	NUM
american_scientific_journal-5938	133	56	-	-	PUNCT
american_scientific_journal-5938	133	57	layer	layer	NOUN
american_scientific_journal-5938	133	58	”	"	PUNCT
american_scientific_journal-5938	133	59	model	model	NOUN
american_scientific_journal-5938	133	60	with	with	ADP
american_scientific_journal-5938	133	61	dropout	dropout	NOUN
american_scientific_journal-5938	133	62	and	and	CCONJ
american_scientific_journal-5938	133	63	input	input	NOUN
american_scientific_journal-5938	133	64	size	size	NOUN
american_scientific_journal-5938	133	65	of	of	ADP
american_scientific_journal-5938	133	66	32	32	NUM
american_scientific_journal-5938	133	67	*	*	SYM
american_scientific_journal-5938	133	68	32	32	NUM
american_scientific_journal-5938	133	69	.	.	PUNCT
american_scientific_journal-5938	134	1	american	american	ADJ
american_scientific_journal-5938	134	2	scientific	scientific	ADJ
american_scientific_journal-5938	134	3	research	research	PROPN
american_scientific_journal-5938	134	4	journal	journal	NOUN
american_scientific_journal-5938	134	5	for	for	ADP
american_scientific_journal-5938	134	6	engineering	engineering	NOUN
american_scientific_journal-5938	134	7	,	,	PUNCT
american_scientific_journal-5938	134	8	technology	technology	NOUN
american_scientific_journal-5938	134	9	,	,	PUNCT
american_scientific_journal-5938	134	10	and	and	CCONJ
american_scientific_journal-5938	134	11	sciences	science	NOUN
american_scientific_journal-5938	134	12	(	(	PUNCT
american_scientific_journal-5938	134	13	asrjets	asrjet	NOUN
american_scientific_journal-5938	134	14	)	)	PUNCT
american_scientific_journal-5938	134	15	(	(	PUNCT
american_scientific_journal-5938	134	16	2020	2020	NUM
american_scientific_journal-5938	134	17	)	)	PUNCT
american_scientific_journal-5938	134	18	volume	volume	NOUN
american_scientific_journal-5938	134	19	68	68	NUM
american_scientific_journal-5938	134	20	,	,	PUNCT
american_scientific_journal-5938	134	21	no	no	DET
american_scientific_journal-5938	134	22	1	1	NUM
american_scientific_journal-5938	134	23	,	,	PUNCT
american_scientific_journal-5938	134	24	pp	pp	ADV
american_scientific_journal-5938	134	25	181	181	NUM
american_scientific_journal-5938	134	26	-	-	SYM
american_scientific_journal-5938	134	27	192	192	NUM
american_scientific_journal-5938	134	28	189	189	NUM
american_scientific_journal-5938	134	29	table	table	NOUN
american_scientific_journal-5938	134	30	2	2	NUM
american_scientific_journal-5938	134	31	:	:	PUNCT
american_scientific_journal-5938	134	32	the	the	DET
american_scientific_journal-5938	134	33	table	table	NOUN
american_scientific_journal-5938	134	34	above	above	ADV
american_scientific_journal-5938	134	35	shows	show	VERB
american_scientific_journal-5938	134	36	more	more	ADJ
american_scientific_journal-5938	134	37	details	detail	NOUN
american_scientific_journal-5938	134	38	information	information	NOUN
american_scientific_journal-5938	134	39	about	about	ADP
american_scientific_journal-5938	134	40	three	three	NUM
american_scientific_journal-5938	134	41	-	-	PUNCT
american_scientific_journal-5938	134	42	layer	layer	NOUN
american_scientific_journal-5938	134	43	convnet	convnet	NOUN
american_scientific_journal-5938	134	44	with	with	ADP
american_scientific_journal-5938	134	45	an	an	DET
american_scientific_journal-5938	134	46	input	input	NOUN
american_scientific_journal-5938	134	47	size	size	NOUN
american_scientific_journal-5938	134	48	of	of	ADP
american_scientific_journal-5938	134	49	32	32	NUM
american_scientific_journal-5938	134	50	*	*	SYM
american_scientific_journal-5938	134	51	32	32	NUM
american_scientific_journal-5938	134	52	and	and	CCONJ
american_scientific_journal-5938	134	53	using	use	VERB
american_scientific_journal-5938	134	54	dropout	dropout	NOUN
american_scientific_journal-5938	134	55	information	information	NOUN
american_scientific_journal-5938	134	56	precision	precision	NOUN
american_scientific_journal-5938	134	57	recall	recall	VERB
american_scientific_journal-5938	134	58	f1	f1	NOUN
american_scientific_journal-5938	134	59	-	-	PUNCT
american_scientific_journal-5938	134	60	score	score	NOUN
american_scientific_journal-5938	134	61	support	support	NOUN
american_scientific_journal-5938	134	62	cat	cat	NOUN
american_scientific_journal-5938	134	63	0.99	0.99	NUM
american_scientific_journal-5938	134	64	1	1	NUM
american_scientific_journal-5938	134	65	0.99	0.99	NUM
american_scientific_journal-5938	134	66	1012	1012	NUM
american_scientific_journal-5938	134	67	dog	dog	NOUN
american_scientific_journal-5938	134	68	1	1	NUM
american_scientific_journal-5938	134	69	0.99	0.99	NUM
american_scientific_journal-5938	134	70	0.99	0.99	NUM
american_scientific_journal-5938	134	71	1011	1011	NUM
american_scientific_journal-5938	134	72	accuracy	accuracy	NOUN
american_scientific_journal-5938	134	73	0.99	0.99	NUM
american_scientific_journal-5938	134	74	2023	2023	NUM
american_scientific_journal-5938	134	75	macro	macro	NOUN
american_scientific_journal-5938	134	76	avg	avg	NOUN
american_scientific_journal-5938	134	77	0.99	0.99	NUM
american_scientific_journal-5938	134	78	0.99	0.99	NUM
american_scientific_journal-5938	134	79	0.99	0.99	NUM
american_scientific_journal-5938	134	80	2023	2023	NUM
american_scientific_journal-5938	134	81	weighted	weight	VERB
american_scientific_journal-5938	134	82	avg	avg	NOUN
american_scientific_journal-5938	134	83	0.99	0.99	NUM
american_scientific_journal-5938	134	84	0.99	0.99	NUM
american_scientific_journal-5938	134	85	0.99	0.99	NUM
american_scientific_journal-5938	134	86	2023	2023	NUM
american_scientific_journal-5938	134	87	accuracy	accuracy	NOUN
american_scientific_journal-5938	134	88	score	score	NOUN
american_scientific_journal-5938	134	89	0.992585	0.992585	NUM
american_scientific_journal-5938	134	90	we	we	PRON
american_scientific_journal-5938	134	91	explored	explore	VERB
american_scientific_journal-5938	134	92	the	the	DET
american_scientific_journal-5938	134	93	performance	performance	NOUN
american_scientific_journal-5938	134	94	of	of	ADP
american_scientific_journal-5938	134	95	the	the	DET
american_scientific_journal-5938	134	96	last	last	ADJ
american_scientific_journal-5938	134	97	two	two	NUM
american_scientific_journal-5938	134	98	models	model	NOUN
american_scientific_journal-5938	134	99	,	,	PUNCT
american_scientific_journal-5938	134	100	which	which	PRON
american_scientific_journal-5938	134	101	were	be	AUX
american_scientific_journal-5938	134	102	three	three	NUM
american_scientific_journal-5938	134	103	-	-	PUNCT
american_scientific_journal-5938	134	104	layer	layer	NOUN
american_scientific_journal-5938	134	105	with	with	ADP
american_scientific_journal-5938	134	106	an	an	DET
american_scientific_journal-5938	134	107	input	input	NOUN
american_scientific_journal-5938	134	108	size	size	NOUN
american_scientific_journal-5938	134	109	of	of	ADP
american_scientific_journal-5938	134	110	64	64	NUM
american_scientific_journal-5938	134	111	*	*	NUM
american_scientific_journal-5938	134	112	64	64	NUM
american_scientific_journal-5938	134	113	with	with	ADP
american_scientific_journal-5938	134	114	and	and	CCONJ
american_scientific_journal-5938	134	115	without	without	ADP
american_scientific_journal-5938	134	116	using	use	VERB
american_scientific_journal-5938	134	117	the	the	DET
american_scientific_journal-5938	134	118	dropout	dropout	NOUN
american_scientific_journal-5938	134	119	technique	technique	NOUN
american_scientific_journal-5938	134	120	in	in	ADP
american_scientific_journal-5938	134	121	figure	figure	NOUN
american_scientific_journal-5938	134	122	3	3	NUM
american_scientific_journal-5938	134	123	and	and	CCONJ
american_scientific_journal-5938	134	124	figure	figure	VERB
american_scientific_journal-5938	134	125	4	4	NUM
american_scientific_journal-5938	134	126	.	.	PUNCT
american_scientific_journal-5938	135	1	those	those	DET
american_scientific_journal-5938	135	2	models	model	NOUN
american_scientific_journal-5938	135	3	were	be	AUX
american_scientific_journal-5938	135	4	not	not	PART
american_scientific_journal-5938	135	5	well	well	ADV
american_scientific_journal-5938	135	6	performed	perform	VERB
american_scientific_journal-5938	135	7	compared	compare	VERB
american_scientific_journal-5938	135	8	to	to	ADP
american_scientific_journal-5938	135	9	the	the	DET
american_scientific_journal-5938	135	10	rest	rest	NOUN
american_scientific_journal-5938	135	11	of	of	ADP
american_scientific_journal-5938	135	12	the	the	DET
american_scientific_journal-5938	135	13	models	model	NOUN
american_scientific_journal-5938	135	14	.	.	PUNCT
american_scientific_journal-5938	136	1	the	the	DET
american_scientific_journal-5938	136	2	reason	reason	NOUN
american_scientific_journal-5938	136	3	behind	behind	ADP
american_scientific_journal-5938	136	4	such	such	DET
american_scientific_journal-5938	136	5	a	a	DET
american_scientific_journal-5938	136	6	problem	problem	NOUN
american_scientific_journal-5938	136	7	could	could	AUX
american_scientific_journal-5938	136	8	be	be	AUX
american_scientific_journal-5938	136	9	because	because	SCONJ
american_scientific_journal-5938	136	10	of	of	ADP
american_scientific_journal-5938	136	11	the	the	DET
american_scientific_journal-5938	136	12	number	number	NOUN
american_scientific_journal-5938	136	13	of	of	ADP
american_scientific_journal-5938	136	14	samples	sample	NOUN
american_scientific_journal-5938	136	15	for	for	ADP
american_scientific_journal-5938	136	16	training	training	NOUN
american_scientific_journal-5938	136	17	.	.	PUNCT
american_scientific_journal-5938	137	1	when	when	SCONJ
american_scientific_journal-5938	137	2	cnn	cnn	PROPN
american_scientific_journal-5938	137	3	models	model	NOUN
american_scientific_journal-5938	137	4	are	be	AUX
american_scientific_journal-5938	137	5	built	build	VERB
american_scientific_journal-5938	137	6	deeper	deeply	ADV
american_scientific_journal-5938	137	7	with	with	ADP
american_scientific_journal-5938	137	8	more	more	ADJ
american_scientific_journal-5938	137	9	layers	layer	NOUN
american_scientific_journal-5938	137	10	,	,	PUNCT
american_scientific_journal-5938	137	11	more	more	ADJ
american_scientific_journal-5938	137	12	samples	sample	NOUN
american_scientific_journal-5938	137	13	are	be	AUX
american_scientific_journal-5938	137	14	needed	need	VERB
american_scientific_journal-5938	137	15	for	for	ADP
american_scientific_journal-5938	137	16	the	the	DET
american_scientific_journal-5938	137	17	training	training	NOUN
american_scientific_journal-5938	137	18	process	process	NOUN
american_scientific_journal-5938	137	19	.	.	PUNCT
american_scientific_journal-5938	138	1	for	for	ADP
american_scientific_journal-5938	138	2	example	example	NOUN
american_scientific_journal-5938	138	3	,	,	PUNCT
american_scientific_journal-5938	138	4	when	when	SCONJ
american_scientific_journal-5938	138	5	we	we	PRON
american_scientific_journal-5938	138	6	train	train	VERB
american_scientific_journal-5938	138	7	a	a	DET
american_scientific_journal-5938	138	8	two	two	NUM
american_scientific_journal-5938	138	9	-	-	PUNCT
american_scientific_journal-5938	138	10	layer	layer	NOUN
american_scientific_journal-5938	138	11	convolutional	convolutional	ADJ
american_scientific_journal-5938	138	12	neural	neural	ADJ
american_scientific_journal-5938	138	13	network	network	NOUN
american_scientific_journal-5938	138	14	with	with	ADP
american_scientific_journal-5938	138	15	an	an	DET
american_scientific_journal-5938	138	16	input	input	NOUN
american_scientific_journal-5938	138	17	size	size	NOUN
american_scientific_journal-5938	138	18	of	of	ADP
american_scientific_journal-5938	138	19	64	64	NUM
american_scientific_journal-5938	138	20	*	*	NOUN
american_scientific_journal-5938	138	21	64	64	NUM
american_scientific_journal-5938	138	22	with	with	ADP
american_scientific_journal-5938	138	23	25,000	25,000	NUM
american_scientific_journal-5938	138	24	samples	sample	NOUN
american_scientific_journal-5938	138	25	,	,	PUNCT
american_scientific_journal-5938	138	26	we	we	PRON
american_scientific_journal-5938	138	27	need	need	VERB
american_scientific_journal-5938	138	28	to	to	PART
american_scientific_journal-5938	138	29	increase	increase	VERB
american_scientific_journal-5938	138	30	the	the	DET
american_scientific_journal-5938	138	31	number	number	NOUN
american_scientific_journal-5938	138	32	of	of	ADP
american_scientific_journal-5938	138	33	samples	sample	NOUN
american_scientific_journal-5938	138	34	.	.	PUNCT
american_scientific_journal-5938	139	1	also	also	ADV
american_scientific_journal-5938	139	2	,	,	PUNCT
american_scientific_journal-5938	139	3	by	by	ADP
american_scientific_journal-5938	139	4	adding	add	VERB
american_scientific_journal-5938	139	5	the	the	DET
american_scientific_journal-5938	139	6	third	third	ADJ
american_scientific_journal-5938	139	7	layer	layer	NOUN
american_scientific_journal-5938	139	8	to	to	ADP
american_scientific_journal-5938	139	9	the	the	DET
american_scientific_journal-5938	139	10	architecture	architecture	NOUN
american_scientific_journal-5938	139	11	,	,	PUNCT
american_scientific_journal-5938	139	12	which	which	PRON
american_scientific_journal-5938	139	13	increases	increase	VERB
american_scientific_journal-5938	139	14	the	the	DET
american_scientific_journal-5938	139	15	number	number	NOUN
american_scientific_journal-5938	139	16	of	of	ADP
american_scientific_journal-5938	139	17	filters	filter	NOUN
american_scientific_journal-5938	139	18	,	,	PUNCT
american_scientific_journal-5938	139	19	more	more	ADJ
american_scientific_journal-5938	139	20	data	datum	NOUN
american_scientific_journal-5938	139	21	are	be	AUX
american_scientific_journal-5938	139	22	required	require	VERB
american_scientific_journal-5938	139	23	for	for	ADP
american_scientific_journal-5938	139	24	training	training	NOUN
american_scientific_journal-5938	139	25	purposes	purpose	NOUN
american_scientific_journal-5938	139	26	.	.	PUNCT
american_scientific_journal-5938	140	1	otherwise	otherwise	ADV
american_scientific_journal-5938	140	2	,	,	PUNCT
american_scientific_journal-5938	140	3	the	the	DET
american_scientific_journal-5938	140	4	so	so	ADV
american_scientific_journal-5938	140	5	-	-	PUNCT
american_scientific_journal-5938	140	6	called	call	VERB
american_scientific_journal-5938	140	7	“	"	PUNCT
american_scientific_journal-5938	140	8	underfitting	underfitting	ADJ
american_scientific_journal-5938	140	9	”	"	PUNCT
american_scientific_journal-5938	140	10	issue	issue	NOUN
american_scientific_journal-5938	140	11	occurs	occur	VERB
american_scientific_journal-5938	140	12	,	,	PUNCT
american_scientific_journal-5938	140	13	and	and	CCONJ
american_scientific_journal-5938	140	14	the	the	DET
american_scientific_journal-5938	140	15	cnn	cnn	PROPN
american_scientific_journal-5938	140	16	models	model	NOUN
american_scientific_journal-5938	140	17	are	be	AUX
american_scientific_journal-5938	140	18	not	not	PART
american_scientific_journal-5938	140	19	well	well	ADV
american_scientific_journal-5938	140	20	trained	train	VERB
american_scientific_journal-5938	140	21	,	,	PUNCT
american_scientific_journal-5938	140	22	and	and	CCONJ
american_scientific_journal-5938	140	23	their	their	PRON
american_scientific_journal-5938	140	24	performance	performance	NOUN
american_scientific_journal-5938	140	25	is	be	AUX
american_scientific_journal-5938	140	26	drastically	drastically	ADV
american_scientific_journal-5938	140	27	reduced	reduce	VERB
american_scientific_journal-5938	140	28	.	.	PUNCT
american_scientific_journal-5938	141	1	“	"	PUNCT
american_scientific_journal-5938	141	2	underfitting	underfitting	NOUN
american_scientific_journal-5938	141	3	”	"	PUNCT
american_scientific_journal-5938	141	4	occurs	occur	VERB
american_scientific_journal-5938	141	5	when	when	SCONJ
american_scientific_journal-5938	141	6	we	we	PRON
american_scientific_journal-5938	141	7	provide	provide	VERB
american_scientific_journal-5938	141	8	an	an	DET
american_scientific_journal-5938	141	9	insufficient	insufficient	ADJ
american_scientific_journal-5938	141	10	number	number	NOUN
american_scientific_journal-5938	141	11	of	of	ADP
american_scientific_journal-5938	141	12	samples	sample	NOUN
american_scientific_journal-5938	141	13	to	to	PART
american_scientific_journal-5938	141	14	train	train	VERB
american_scientific_journal-5938	141	15	a	a	DET
american_scientific_journal-5938	141	16	model	model	NOUN
american_scientific_journal-5938	141	17	,	,	PUNCT
american_scientific_journal-5938	141	18	and	and	CCONJ
american_scientific_journal-5938	141	19	cnn	cnn	PROPN
american_scientific_journal-5938	141	20	models	model	NOUN
american_scientific_journal-5938	141	21	are	be	AUX
american_scientific_journal-5938	141	22	unable	unable	ADJ
american_scientific_journal-5938	141	23	to	to	PART
american_scientific_journal-5938	141	24	be	be	AUX
american_scientific_journal-5938	141	25	adequately	adequately	ADV
american_scientific_journal-5938	141	26	trained	train	VERB
american_scientific_journal-5938	141	27	.	.	PUNCT
american_scientific_journal-5938	142	1	more	more	ADJ
american_scientific_journal-5938	142	2	details	detail	NOUN
american_scientific_journal-5938	142	3	about	about	ADP
american_scientific_journal-5938	142	4	the	the	DET
american_scientific_journal-5938	142	5	efficiency	efficiency	NOUN
american_scientific_journal-5938	142	6	and	and	CCONJ
american_scientific_journal-5938	142	7	loss	loss	NOUN
american_scientific_journal-5938	142	8	of	of	ADP
american_scientific_journal-5938	142	9	the	the	DET
american_scientific_journal-5938	142	10	two	two	NUM
american_scientific_journal-5938	142	11	mentioned	mention	VERB
american_scientific_journal-5938	142	12	models	model	NOUN
american_scientific_journal-5938	142	13	are	be	AUX
american_scientific_journal-5938	142	14	discussed	discuss	VERB
american_scientific_journal-5938	142	15	in	in	ADP
american_scientific_journal-5938	142	16	figure	figure	NOUN
american_scientific_journal-5938	142	17	7	7	NUM
american_scientific_journal-5938	142	18	and	and	CCONJ
american_scientific_journal-5938	142	19	figure	figure	VERB
american_scientific_journal-5938	142	20	8	8	NUM
american_scientific_journal-5938	142	21	.	.	PUNCT
american_scientific_journal-5938	143	1	figure	figure	VERB
american_scientific_journal-5938	143	2	7	7	NUM
american_scientific_journal-5938	143	3	:	:	PUNCT
american_scientific_journal-5938	143	4	as	as	SCONJ
american_scientific_journal-5938	143	5	it	it	PRON
american_scientific_journal-5938	143	6	is	be	AUX
american_scientific_journal-5938	143	7	shown	show	VERB
american_scientific_journal-5938	143	8	,	,	PUNCT
american_scientific_journal-5938	143	9	the	the	DET
american_scientific_journal-5938	143	10	accuracy	accuracy	NOUN
american_scientific_journal-5938	143	11	of	of	ADP
american_scientific_journal-5938	143	12	both	both	DET
american_scientific_journal-5938	143	13	three	three	NUM
american_scientific_journal-5938	143	14	-	-	PUNCT
american_scientific_journal-5938	143	15	layer	layer	NOUN
american_scientific_journal-5938	143	16	cnns	cnn	NOUN
american_scientific_journal-5938	143	17	could	could	AUX
american_scientific_journal-5938	143	18	not	not	PART
american_scientific_journal-5938	143	19	improve	improve	VERB
american_scientific_journal-5938	143	20	during	during	ADP
american_scientific_journal-5938	143	21	all	all	DET
american_scientific_journal-5938	143	22	the	the	DET
american_scientific_journal-5938	143	23	iterations	iteration	NOUN
american_scientific_journal-5938	143	24	,	,	PUNCT
american_scientific_journal-5938	143	25	which	which	PRON
american_scientific_journal-5938	143	26	,	,	PUNCT
american_scientific_journal-5938	143	27	as	as	SCONJ
american_scientific_journal-5938	143	28	mentioned	mention	VERB
american_scientific_journal-5938	143	29	,	,	PUNCT
american_scientific_journal-5938	143	30	such	such	DET
american_scientific_journal-5938	143	31	an	an	DET
american_scientific_journal-5938	143	32	occurrence	occurrence	NOUN
american_scientific_journal-5938	143	33	happens	happen	VERB
american_scientific_journal-5938	143	34	when	when	SCONJ
american_scientific_journal-5938	143	35	insufficient	insufficient	ADJ
american_scientific_journal-5938	143	36	samples	sample	NOUN
american_scientific_journal-5938	143	37	are	be	AUX
american_scientific_journal-5938	143	38	used	use	VERB
american_scientific_journal-5938	143	39	for	for	ADP
american_scientific_journal-5938	143	40	training	training	NOUN
american_scientific_journal-5938	143	41	procedure	procedure	NOUN
american_scientific_journal-5938	143	42	,	,	PUNCT
american_scientific_journal-5938	143	43	and	and	CCONJ
american_scientific_journal-5938	143	44	underfitting	underfitting	NOUN
american_scientific_journal-5938	143	45	occurs	occur	VERB
american_scientific_journal-5938	143	46	[	[	X
american_scientific_journal-5938	143	47	22	22	NUM
american_scientific_journal-5938	143	48	]	]	PUNCT
american_scientific_journal-5938	143	49	as	as	SCONJ
american_scientific_journal-5938	143	50	it	it	PRON
american_scientific_journal-5938	143	51	is	be	AUX
american_scientific_journal-5938	143	52	evident	evident	ADJ
american_scientific_journal-5938	143	53	,	,	PUNCT
american_scientific_journal-5938	143	54	neither	neither	PRON
american_scientific_journal-5938	143	55	of	of	ADP
american_scientific_journal-5938	143	56	both	both	DET
american_scientific_journal-5938	143	57	mentioned	mention	VERB
american_scientific_journal-5938	143	58	models	model	NOUN
american_scientific_journal-5938	143	59	are	be	AUX
american_scientific_journal-5938	143	60	acceptable	acceptable	ADJ
american_scientific_journal-5938	143	61	and	and	CCONJ
american_scientific_journal-5938	143	62	have	have	VERB
american_scientific_journal-5938	143	63	a	a	DET
american_scientific_journal-5938	143	64	deficient	deficient	ADJ
american_scientific_journal-5938	143	65	value	value	NOUN
american_scientific_journal-5938	143	66	of	of	ADP
american_scientific_journal-5938	143	67	accuracy	accuracy	NOUN
american_scientific_journal-5938	143	68	.	.	PUNCT
american_scientific_journal-5938	144	1	but	but	CCONJ
american_scientific_journal-5938	144	2	the	the	DET
american_scientific_journal-5938	144	3	impact	impact	NOUN
american_scientific_journal-5938	144	4	and	and	CCONJ
american_scientific_journal-5938	144	5	differences	difference	NOUN
american_scientific_journal-5938	144	6	of	of	ADP
american_scientific_journal-5938	144	7	using	use	VERB
american_scientific_journal-5938	144	8	the	the	DET
american_scientific_journal-5938	144	9	dropout	dropout	NOUN
american_scientific_journal-5938	144	10	technique	technique	NOUN
american_scientific_journal-5938	144	11	or	or	CCONJ
american_scientific_journal-5938	144	12	not	not	PART
american_scientific_journal-5938	144	13	as	as	SCONJ
american_scientific_journal-5938	144	14	it	it	PRON
american_scientific_journal-5938	144	15	was	be	AUX
american_scientific_journal-5938	144	16	said	say	VERB
american_scientific_journal-5938	144	17	are	be	AUX
american_scientific_journal-5938	144	18	shown	show	VERB
american_scientific_journal-5938	144	19	in	in	ADP
american_scientific_journal-5938	144	20	figure	figure	NOUN
american_scientific_journal-5938	144	21	8	8	NUM
american_scientific_journal-5938	144	22	.	.	PUNCT
american_scientific_journal-5938	145	1	american	american	PROPN
american_scientific_journal-5938	145	2	scientific	scientific	ADJ
american_scientific_journal-5938	145	3	research	research	PROPN
american_scientific_journal-5938	145	4	journal	journal	NOUN
american_scientific_journal-5938	145	5	for	for	ADP
american_scientific_journal-5938	145	6	engineering	engineering	NOUN
american_scientific_journal-5938	145	7	,	,	PUNCT
american_scientific_journal-5938	145	8	technology	technology	NOUN
american_scientific_journal-5938	145	9	,	,	PUNCT
american_scientific_journal-5938	145	10	and	and	CCONJ
american_scientific_journal-5938	145	11	sciences	science	NOUN
american_scientific_journal-5938	145	12	(	(	PUNCT
american_scientific_journal-5938	145	13	asrjets	asrjet	NOUN
american_scientific_journal-5938	145	14	)	)	PUNCT
american_scientific_journal-5938	145	15	(	(	PUNCT
american_scientific_journal-5938	145	16	2020	2020	NUM
american_scientific_journal-5938	145	17	)	)	PUNCT
american_scientific_journal-5938	145	18	volume	volume	NOUN
american_scientific_journal-5938	145	19	68	68	NUM
american_scientific_journal-5938	145	20	,	,	PUNCT
american_scientific_journal-5938	145	21	no	no	DET
american_scientific_journal-5938	145	22	1	1	NUM
american_scientific_journal-5938	145	23	,	,	PUNCT
american_scientific_journal-5938	145	24	pp	pp	ADV
american_scientific_journal-5938	145	25	181	181	NUM
american_scientific_journal-5938	145	26	-	-	SYM
american_scientific_journal-5938	145	27	192	192	NUM
american_scientific_journal-5938	145	28	190	190	NUM
american_scientific_journal-5938	145	29	figure	figure	NOUN
american_scientific_journal-5938	145	30	8	8	NUM
american_scientific_journal-5938	145	31	:	:	PUNCT
american_scientific_journal-5938	145	32	without	without	ADP
american_scientific_journal-5938	145	33	considering	consider	VERB
american_scientific_journal-5938	145	34	that	that	SCONJ
american_scientific_journal-5938	145	35	the	the	DET
american_scientific_journal-5938	145	36	models	model	NOUN
american_scientific_journal-5938	145	37	were	be	AUX
american_scientific_journal-5938	145	38	not	not	PART
american_scientific_journal-5938	145	39	trained	train	VERB
american_scientific_journal-5938	145	40	as	as	SCONJ
american_scientific_journal-5938	145	41	we	we	PRON
american_scientific_journal-5938	145	42	expected	expect	VERB
american_scientific_journal-5938	145	43	,	,	PUNCT
american_scientific_journal-5938	145	44	it	it	PRON
american_scientific_journal-5938	145	45	is	be	AUX
american_scientific_journal-5938	145	46	shown	show	VERB
american_scientific_journal-5938	145	47	that	that	SCONJ
american_scientific_journal-5938	145	48	using	use	VERB
american_scientific_journal-5938	145	49	dropout	dropout	NOUN
american_scientific_journal-5938	145	50	could	could	AUX
american_scientific_journal-5938	145	51	control	control	VERB
american_scientific_journal-5938	145	52	and	and	CCONJ
american_scientific_journal-5938	145	53	reduce	reduce	VERB
american_scientific_journal-5938	145	54	the	the	DET
american_scientific_journal-5938	145	55	value	value	NOUN
american_scientific_journal-5938	145	56	of	of	ADP
american_scientific_journal-5938	145	57	loss	loss	NOUN
american_scientific_journal-5938	145	58	even	even	ADV
american_scientific_journal-5938	145	59	in	in	ADP
american_scientific_journal-5938	145	60	underfitting	underfitting	NOUN
american_scientific_journal-5938	145	61	.	.	PUNCT
american_scientific_journal-5938	146	1	therefore	therefore	ADV
american_scientific_journal-5938	146	2	,	,	PUNCT
american_scientific_journal-5938	146	3	according	accord	VERB
american_scientific_journal-5938	146	4	to	to	ADP
american_scientific_journal-5938	146	5	the	the	DET
american_scientific_journal-5938	146	6	equable	equable	ADJ
american_scientific_journal-5938	146	7	training	training	NOUN
american_scientific_journal-5938	146	8	dataset	dataset	NOUN
american_scientific_journal-5938	146	9	that	that	PRON
american_scientific_journal-5938	146	10	was	be	AUX
american_scientific_journal-5938	146	11	used	use	VERB
american_scientific_journal-5938	146	12	and	and	CCONJ
american_scientific_journal-5938	146	13	the	the	DET
american_scientific_journal-5938	146	14	different	different	ADJ
american_scientific_journal-5938	146	15	models	model	NOUN
american_scientific_journal-5938	146	16	which	which	PRON
american_scientific_journal-5938	146	17	were	be	AUX
american_scientific_journal-5938	146	18	built	build	VERB
american_scientific_journal-5938	146	19	in	in	ADP
american_scientific_journal-5938	146	20	this	this	DET
american_scientific_journal-5938	146	21	project	project	NOUN
american_scientific_journal-5938	146	22	and	and	CCONJ
american_scientific_journal-5938	146	23	the	the	DET
american_scientific_journal-5938	146	24	results	result	NOUN
american_scientific_journal-5938	146	25	,	,	PUNCT
american_scientific_journal-5938	146	26	it	it	PRON
american_scientific_journal-5938	146	27	is	be	AUX
american_scientific_journal-5938	146	28	shown	show	VERB
american_scientific_journal-5938	146	29	with	with	ADP
american_scientific_journal-5938	146	30	adding	add	VERB
american_scientific_journal-5938	146	31	more	more	ADJ
american_scientific_journal-5938	146	32	layers	layer	NOUN
american_scientific_journal-5938	146	33	to	to	ADP
american_scientific_journal-5938	146	34	the	the	DET
american_scientific_journal-5938	146	35	cnn	cnn	PROPN
american_scientific_journal-5938	146	36	models	model	NOUN
american_scientific_journal-5938	146	37	,	,	PUNCT
american_scientific_journal-5938	146	38	performance	performance	NOUN
american_scientific_journal-5938	146	39	could	could	AUX
american_scientific_journal-5938	146	40	improve	improve	VERB
american_scientific_journal-5938	146	41	or	or	CCONJ
american_scientific_journal-5938	146	42	reduce	reduce	VERB
american_scientific_journal-5938	146	43	.	.	PUNCT
american_scientific_journal-5938	147	1	as	as	SCONJ
american_scientific_journal-5938	147	2	you	you	PRON
american_scientific_journal-5938	147	3	can	can	AUX
american_scientific_journal-5938	147	4	see	see	VERB
american_scientific_journal-5938	147	5	by	by	ADP
american_scientific_journal-5938	147	6	adding	add	VERB
american_scientific_journal-5938	147	7	the	the	DET
american_scientific_journal-5938	147	8	third	third	ADJ
american_scientific_journal-5938	147	9	layer	layer	NOUN
american_scientific_journal-5938	147	10	and	and	CCONJ
american_scientific_journal-5938	147	11	considering	consider	VERB
american_scientific_journal-5938	147	12	an	an	DET
american_scientific_journal-5938	147	13	input	input	NOUN
american_scientific_journal-5938	147	14	size	size	NOUN
american_scientific_journal-5938	147	15	of	of	ADP
american_scientific_journal-5938	147	16	32	32	NUM
american_scientific_journal-5938	147	17	*	*	SYM
american_scientific_journal-5938	147	18	32	32	NUM
american_scientific_journal-5938	147	19	,	,	PUNCT
american_scientific_journal-5938	147	20	we	we	PRON
american_scientific_journal-5938	147	21	achieved	achieve	VERB
american_scientific_journal-5938	147	22	the	the	DET
american_scientific_journal-5938	147	23	highest	high	ADJ
american_scientific_journal-5938	147	24	accuracy	accuracy	NOUN
american_scientific_journal-5938	147	25	and	and	CCONJ
american_scientific_journal-5938	147	26	performance	performance	NOUN
american_scientific_journal-5938	147	27	,	,	PUNCT
american_scientific_journal-5938	147	28	but	but	CCONJ
american_scientific_journal-5938	147	29	with	with	ADP
american_scientific_journal-5938	147	30	training	training	NOUN
american_scientific_journal-5938	147	31	,	,	PUNCT
american_scientific_journal-5938	147	32	the	the	DET
american_scientific_journal-5938	147	33	same	same	ADJ
american_scientific_journal-5938	147	34	model	model	NOUN
american_scientific_journal-5938	147	35	with	with	ADP
american_scientific_journal-5938	147	36	raising	raise	VERB
american_scientific_journal-5938	147	37	the	the	DET
american_scientific_journal-5938	147	38	input	input	NOUN
american_scientific_journal-5938	147	39	size	size	NOUN
american_scientific_journal-5938	147	40	to	to	ADP
american_scientific_journal-5938	147	41	64	64	NUM
american_scientific_journal-5938	147	42	*	*	SYM
american_scientific_journal-5938	147	43	64	64	NUM
american_scientific_journal-5938	147	44	the	the	DET
american_scientific_journal-5938	147	45	models	model	NOUN
american_scientific_journal-5938	147	46	with	with	ADP
american_scientific_journal-5938	147	47	the	the	DET
american_scientific_journal-5938	147	48	lowest	low	ADJ
american_scientific_journal-5938	147	49	accuracy	accuracy	NOUN
american_scientific_journal-5938	147	50	were	be	AUX
american_scientific_journal-5938	147	51	built	build	VERB
american_scientific_journal-5938	147	52	.	.	PUNCT
american_scientific_journal-5938	148	1	so	so	ADV
american_scientific_journal-5938	148	2	besides	besides	SCONJ
american_scientific_journal-5938	148	3	the	the	DET
american_scientific_journal-5938	148	4	numbers	number	NOUN
american_scientific_journal-5938	148	5	of	of	ADP
american_scientific_journal-5938	148	6	layers	layer	NOUN
american_scientific_journal-5938	148	7	and	and	CCONJ
american_scientific_journal-5938	148	8	the	the	DET
american_scientific_journal-5938	148	9	number	number	NOUN
american_scientific_journal-5938	148	10	of	of	ADP
american_scientific_journal-5938	148	11	samples	sample	NOUN
american_scientific_journal-5938	148	12	,	,	PUNCT
american_scientific_journal-5938	148	13	architecture	architecture	NOUN
american_scientific_journal-5938	148	14	,	,	PUNCT
american_scientific_journal-5938	148	15	and	and	CCONJ
american_scientific_journal-5938	148	16	designing	designing	NOUN
american_scientific_journal-5938	148	17	of	of	ADP
american_scientific_journal-5938	148	18	a	a	DET
american_scientific_journal-5938	148	19	cnn	cnn	PROPN
american_scientific_journal-5938	148	20	model	model	NOUN
american_scientific_journal-5938	148	21	plays	play	VERB
american_scientific_journal-5938	148	22	an	an	DET
american_scientific_journal-5938	148	23	important	important	ADJ
american_scientific_journal-5938	148	24	role	role	NOUN
american_scientific_journal-5938	148	25	,	,	PUNCT
american_scientific_journal-5938	148	26	and	and	CCONJ
american_scientific_journal-5938	148	27	the	the	DET
american_scientific_journal-5938	148	28	most	most	ADV
american_scientific_journal-5938	148	29	important	important	ADJ
american_scientific_journal-5938	148	30	and	and	CCONJ
american_scientific_journal-5938	148	31	necessary	necessary	ADJ
american_scientific_journal-5938	148	32	thing	thing	NOUN
american_scientific_journal-5938	148	33	to	to	PART
american_scientific_journal-5938	148	34	get	get	VERB
american_scientific_journal-5938	148	35	the	the	DET
american_scientific_journal-5938	148	36	highest	high	ADJ
american_scientific_journal-5938	148	37	performance	performance	NOUN
american_scientific_journal-5938	148	38	from	from	ADP
american_scientific_journal-5938	148	39	a	a	DET
american_scientific_journal-5938	148	40	model	model	NOUN
american_scientific_journal-5938	148	41	is	be	AUX
american_scientific_journal-5938	148	42	to	to	PART
american_scientific_journal-5938	148	43	set	set	VERB
american_scientific_journal-5938	148	44	the	the	DET
american_scientific_journal-5938	148	45	best	good	ADJ
american_scientific_journal-5938	148	46	determination	determination	NOUN
american_scientific_journal-5938	148	47	for	for	ADP
american_scientific_journal-5938	148	48	parameters	parameter	NOUN
american_scientific_journal-5938	148	49	and	and	CCONJ
american_scientific_journal-5938	148	50	design	design	VERB
american_scientific_journal-5938	148	51	an	an	DET
american_scientific_journal-5938	148	52	architecture	architecture	NOUN
american_scientific_journal-5938	148	53	which	which	PRON
american_scientific_journal-5938	148	54	could	could	AUX
american_scientific_journal-5938	148	55	be	be	AUX
american_scientific_journal-5938	148	56	fit	fit	ADJ
american_scientific_journal-5938	148	57	with	with	ADP
american_scientific_journal-5938	148	58	existing	exist	VERB
american_scientific_journal-5938	148	59	datasets	dataset	NOUN
american_scientific_journal-5938	148	60	.	.	PUNCT
american_scientific_journal-5938	149	1	5	5	X
american_scientific_journal-5938	149	2	.	.	X
american_scientific_journal-5938	149	3	conclusion	conclusion	VERB
american_scientific_journal-5938	149	4	binary	binary	ADJ
american_scientific_journal-5938	149	5	classification	classification	NOUN
american_scientific_journal-5938	149	6	of	of	ADP
american_scientific_journal-5938	149	7	dog	dog	NOUN
american_scientific_journal-5938	149	8	and	and	CCONJ
american_scientific_journal-5938	149	9	cat	cat	NOUN
american_scientific_journal-5938	149	10	images	image	NOUN
american_scientific_journal-5938	149	11	was	be	AUX
american_scientific_journal-5938	149	12	performed	perform	VERB
american_scientific_journal-5938	149	13	using	use	VERB
american_scientific_journal-5938	149	14	various	various	ADJ
american_scientific_journal-5938	149	15	cnns	cnn	NOUN
american_scientific_journal-5938	149	16	models	model	NOUN
american_scientific_journal-5938	149	17	along	along	ADP
american_scientific_journal-5938	149	18	with	with	ADP
american_scientific_journal-5938	149	19	different	different	ADJ
american_scientific_journal-5938	149	20	input	input	NOUN
american_scientific_journal-5938	149	21	image	image	NOUN
american_scientific_journal-5938	149	22	sizes	size	NOUN
american_scientific_journal-5938	149	23	.	.	PUNCT
american_scientific_journal-5938	150	1	also	also	ADV
american_scientific_journal-5938	150	2	,	,	PUNCT
american_scientific_journal-5938	150	3	the	the	DET
american_scientific_journal-5938	150	4	impact	impact	NOUN
american_scientific_journal-5938	150	5	of	of	ADP
american_scientific_journal-5938	150	6	the	the	DET
american_scientific_journal-5938	150	7	dropout	dropout	NOUN
american_scientific_journal-5938	150	8	technique	technique	NOUN
american_scientific_journal-5938	150	9	was	be	AUX
american_scientific_journal-5938	150	10	explored	explore	VERB
american_scientific_journal-5938	150	11	in	in	ADP
american_scientific_journal-5938	150	12	the	the	DET
american_scientific_journal-5938	150	13	model	model	NOUN
american_scientific_journal-5938	150	14	development	development	NOUN
american_scientific_journal-5938	150	15	to	to	PART
american_scientific_journal-5938	150	16	see	see	VERB
american_scientific_journal-5938	150	17	whether	whether	SCONJ
american_scientific_journal-5938	150	18	it	it	PRON
american_scientific_journal-5938	150	19	improves	improve	VERB
american_scientific_journal-5938	150	20	the	the	DET
american_scientific_journal-5938	150	21	performance	performance	NOUN
american_scientific_journal-5938	150	22	of	of	ADP
american_scientific_journal-5938	150	23	classification	classification	NOUN
american_scientific_journal-5938	150	24	.	.	PUNCT
american_scientific_journal-5938	151	1	the	the	DET
american_scientific_journal-5938	151	2	results	result	NOUN
american_scientific_journal-5938	151	3	showed	show	VERB
american_scientific_journal-5938	151	4	that	that	SCONJ
american_scientific_journal-5938	151	5	the	the	DET
american_scientific_journal-5938	151	6	best	good	ADJ
american_scientific_journal-5938	151	7	performance	performance	NOUN
american_scientific_journal-5938	151	8	of	of	ADP
american_scientific_journal-5938	151	9	binary	binary	ADJ
american_scientific_journal-5938	151	10	classification	classification	NOUN
american_scientific_journal-5938	151	11	was	be	AUX
american_scientific_journal-5938	151	12	achieved	achieve	VERB
american_scientific_journal-5938	151	13	from	from	ADP
american_scientific_journal-5938	151	14	a	a	DET
american_scientific_journal-5938	151	15	three	three	NUM
american_scientific_journal-5938	151	16	-	-	PUNCT
american_scientific_journal-5938	151	17	layer	layer	NOUN
american_scientific_journal-5938	151	18	model	model	NOUN
american_scientific_journal-5938	151	19	with	with	ADP
american_scientific_journal-5938	151	20	dropout	dropout	NOUN
american_scientific_journal-5938	151	21	and	and	CCONJ
american_scientific_journal-5938	151	22	an	an	DET
american_scientific_journal-5938	151	23	input	input	NOUN
american_scientific_journal-5938	151	24	image	image	NOUN
american_scientific_journal-5938	151	25	size	size	NOUN
american_scientific_journal-5938	151	26	of	of	ADP
american_scientific_journal-5938	151	27	32	32	NUM
american_scientific_journal-5938	151	28	x	x	SYM
american_scientific_journal-5938	151	29	32	32	NUM
american_scientific_journal-5938	151	30	.	.	PUNCT
american_scientific_journal-5938	152	1	however	however	ADV
american_scientific_journal-5938	152	2	,	,	PUNCT
american_scientific_journal-5938	152	3	the	the	DET
american_scientific_journal-5938	152	4	three	three	NUM
american_scientific_journal-5938	152	5	-	-	PUNCT
american_scientific_journal-5938	152	6	layer	layer	NOUN
american_scientific_journal-5938	152	7	model	model	NOUN
american_scientific_journal-5938	152	8	showed	show	VERB
american_scientific_journal-5938	152	9	a	a	DET
american_scientific_journal-5938	152	10	low	low	ADJ
american_scientific_journal-5938	152	11	performance	performance	NOUN
american_scientific_journal-5938	152	12	with	with	ADP
american_scientific_journal-5938	152	13	64	64	NUM
american_scientific_journal-5938	152	14	x	x	SYM
american_scientific_journal-5938	152	15	64	64	NUM
american_scientific_journal-5938	152	16	input	input	NOUN
american_scientific_journal-5938	152	17	size	size	NOUN
american_scientific_journal-5938	152	18	,	,	PUNCT
american_scientific_journal-5938	152	19	which	which	PRON
american_scientific_journal-5938	152	20	suggests	suggest	VERB
american_scientific_journal-5938	152	21	that	that	SCONJ
american_scientific_journal-5938	152	22	the	the	DET
american_scientific_journal-5938	152	23	number	number	NOUN
american_scientific_journal-5938	152	24	of	of	ADP
american_scientific_journal-5938	152	25	samples	sample	NOUN
american_scientific_journal-5938	152	26	used	use	VERB
american_scientific_journal-5938	152	27	for	for	ADP
american_scientific_journal-5938	152	28	training	training	NOUN
american_scientific_journal-5938	152	29	was	be	AUX
american_scientific_journal-5938	152	30	insufficient	insufficient	ADJ
american_scientific_journal-5938	152	31	.	.	PUNCT
american_scientific_journal-5938	153	1	also	also	ADV
american_scientific_journal-5938	153	2	,	,	PUNCT
american_scientific_journal-5938	153	3	the	the	DET
american_scientific_journal-5938	153	4	best	good	ADJ
american_scientific_journal-5938	153	5	model	model	NOUN
american_scientific_journal-5938	153	6	achieved	achieve	VERB
american_scientific_journal-5938	153	7	can	can	AUX
american_scientific_journal-5938	153	8	be	be	AUX
american_scientific_journal-5938	153	9	utilized	utilize	VERB
american_scientific_journal-5938	153	10	as	as	ADP
american_scientific_journal-5938	153	11	a	a	DET
american_scientific_journal-5938	153	12	feature	feature	NOUN
american_scientific_journal-5938	153	13	extractor	extractor	NOUN
american_scientific_journal-5938	153	14	in	in	ADP
american_scientific_journal-5938	153	15	other	other	ADJ
american_scientific_journal-5938	153	16	experiments	experiment	NOUN
american_scientific_journal-5938	153	17	.	.	PUNCT
american_scientific_journal-5938	154	1	for	for	ADP
american_scientific_journal-5938	154	2	future	future	ADJ
american_scientific_journal-5938	154	3	work	work	NOUN
american_scientific_journal-5938	154	4	,	,	PUNCT
american_scientific_journal-5938	154	5	a	a	DET
american_scientific_journal-5938	154	6	broader	broad	ADJ
american_scientific_journal-5938	154	7	comparison	comparison	NOUN
american_scientific_journal-5938	154	8	between	between	ADP
american_scientific_journal-5938	154	9	cnn	cnn	PROPN
american_scientific_journal-5938	154	10	models	model	NOUN
american_scientific_journal-5938	154	11	to	to	PART
american_scientific_journal-5938	154	12	explore	explore	VERB
american_scientific_journal-5938	154	13	the	the	DET
american_scientific_journal-5938	154	14	impact	impact	NOUN
american_scientific_journal-5938	154	15	of	of	ADP
american_scientific_journal-5938	154	16	different	different	ADJ
american_scientific_journal-5938	154	17	parameters	parameter	NOUN
american_scientific_journal-5938	154	18	can	can	AUX
american_scientific_journal-5938	154	19	be	be	AUX
american_scientific_journal-5938	154	20	performed	perform	VERB
american_scientific_journal-5938	154	21	.	.	PUNCT
american_scientific_journal-5938	155	1	acknowledgment	acknowledgment	NOUN
american_scientific_journal-5938	155	2	i	i	PRON
american_scientific_journal-5938	155	3	would	would	AUX
american_scientific_journal-5938	155	4	like	like	VERB
american_scientific_journal-5938	155	5	to	to	PART
american_scientific_journal-5938	155	6	express	express	VERB
american_scientific_journal-5938	155	7	my	my	PRON
american_scientific_journal-5938	155	8	gratitude	gratitude	NOUN
american_scientific_journal-5938	155	9	towards	towards	ADP
american_scientific_journal-5938	155	10	dr	dr	PROPN
american_scientific_journal-5938	155	11	.	.	PROPN
american_scientific_journal-5938	155	12	mina	mina	PROPN
american_scientific_journal-5938	155	13	hashemi	hashemi	PROPN
american_scientific_journal-5938	155	14	nik	nik	PROPN
american_scientific_journal-5938	155	15	,	,	PUNCT
american_scientific_journal-5938	155	16	dr	dr	PROPN
american_scientific_journal-5938	155	17	.	.	PROPN
american_scientific_journal-5938	155	18	amir	amir	PROPN
american_scientific_journal-5938	155	19	hatami	hatami	PROPN
american_scientific_journal-5938	155	20	,	,	PUNCT
american_scientific_journal-5938	156	1	dr	dr	PROPN
american_scientific_journal-5938	156	2	.	.	PROPN
american_scientific_journal-5938	156	3	seyyed	seyye	VERB
american_scientific_journal-5938	156	4	ehsan	ehsan	PROPN
american_scientific_journal-5938	156	5	zadkhosh	zadkhosh	PROPN
american_scientific_journal-5938	156	6	,	,	PUNCT
american_scientific_journal-5938	156	7	dr	dr	PROPN
american_scientific_journal-5938	156	8	.	.	PROPN
american_scientific_journal-5938	156	9	ali	ali	PROPN
american_scientific_journal-5938	156	10	g.	g.	PROPN
american_scientific_journal-5938	156	11	,	,	PUNCT
american_scientific_journal-5938	156	12	and	and	CCONJ
american_scientific_journal-5938	157	1	dr	dr	PROPN
american_scientific_journal-5938	157	2	.	.	PROPN
american_scientific_journal-5938	157	3	saman	saman	PROPN
american_scientific_journal-5938	157	4	sarraf	sarraf	VERB
american_scientific_journal-5938	157	5	for	for	ADP
american_scientific_journal-5938	157	6	extending	extend	VERB
american_scientific_journal-5938	157	7	their	their	PRON
american_scientific_journal-5938	157	8	help	help	NOUN
american_scientific_journal-5938	157	9	and	and	CCONJ
american_scientific_journal-5938	157	10	support	support	NOUN
american_scientific_journal-5938	157	11	in	in	ADP
american_scientific_journal-5938	157	12	this	this	DET
american_scientific_journal-5938	157	13	study	study	NOUN
american_scientific_journal-5938	157	14	.	.	PUNCT
american_scientific_journal-5938	158	1	references	reference	NOUN
american_scientific_journal-5938	158	2	[	[	X
american_scientific_journal-5938	158	3	1	1	NUM
american_scientific_journal-5938	158	4	]	]	PUNCT
american_scientific_journal-5938	158	5	.	.	PUNCT
american_scientific_journal-5938	159	1	domingos	domingos	PROPN
american_scientific_journal-5938	159	2	,	,	PUNCT
american_scientific_journal-5938	159	3	p.	p.	PROPN
american_scientific_journal-5938	159	4	,	,	PUNCT
american_scientific_journal-5938	159	5	a	a	DET
american_scientific_journal-5938	159	6	few	few	ADJ
american_scientific_journal-5938	159	7	useful	useful	ADJ
american_scientific_journal-5938	159	8	things	thing	NOUN
american_scientific_journal-5938	159	9	to	to	PART
american_scientific_journal-5938	159	10	know	know	VERB
american_scientific_journal-5938	159	11	about	about	ADP
american_scientific_journal-5938	159	12	machine	machine	NOUN
american_scientific_journal-5938	159	13	learning	learning	NOUN
american_scientific_journal-5938	159	14	.	.	PUNCT
american_scientific_journal-5938	160	1	communications	communication	NOUN
american_scientific_journal-5938	160	2	of	of	ADP
american_scientific_journal-5938	160	3	the	the	DET
american_scientific_journal-5938	160	4	acm	acm	NOUN
american_scientific_journal-5938	160	5	,	,	PUNCT
american_scientific_journal-5938	160	6	2012	2012	NUM
american_scientific_journal-5938	160	7	.	.	PUNCT
american_scientific_journal-5938	161	1	55(10	55(10	NUM
american_scientific_journal-5938	161	2	):	):	PUNCT
american_scientific_journal-5938	161	3	p.	p.	NOUN
american_scientific_journal-5938	161	4	78	78	NUM
american_scientific_journal-5938	161	5	-	-	SYM
american_scientific_journal-5938	161	6	87	87	NUM
american_scientific_journal-5938	161	7	.	.	PUNCT
american_scientific_journal-5938	162	1	american	american	ADJ
american_scientific_journal-5938	162	2	scientific	scientific	ADJ
american_scientific_journal-5938	162	3	research	research	PROPN
american_scientific_journal-5938	162	4	journal	journal	NOUN
american_scientific_journal-5938	162	5	for	for	ADP
american_scientific_journal-5938	162	6	engineering	engineering	NOUN
american_scientific_journal-5938	162	7	,	,	PUNCT
american_scientific_journal-5938	162	8	technology	technology	NOUN
american_scientific_journal-5938	162	9	,	,	PUNCT
american_scientific_journal-5938	162	10	and	and	CCONJ
american_scientific_journal-5938	162	11	sciences	science	NOUN
american_scientific_journal-5938	162	12	(	(	PUNCT
american_scientific_journal-5938	162	13	asrjets	asrjet	NOUN
american_scientific_journal-5938	162	14	)	)	PUNCT
american_scientific_journal-5938	162	15	(	(	PUNCT
american_scientific_journal-5938	162	16	2020	2020	NUM
american_scientific_journal-5938	162	17	)	)	PUNCT
american_scientific_journal-5938	162	18	volume	volume	NOUN
american_scientific_journal-5938	162	19	68	68	NUM
american_scientific_journal-5938	162	20	,	,	PUNCT
american_scientific_journal-5938	162	21	no	no	DET
american_scientific_journal-5938	162	22	1	1	NUM
american_scientific_journal-5938	162	23	,	,	PUNCT
american_scientific_journal-5938	162	24	pp	pp	ADV
american_scientific_journal-5938	162	25	181	181	NUM
american_scientific_journal-5938	162	26	-	-	SYM
american_scientific_journal-5938	162	27	192	192	NUM
american_scientific_journal-5938	162	28	191	191	NUM
american_scientific_journal-5938	163	1	[	[	X
american_scientific_journal-5938	163	2	2	2	NUM
american_scientific_journal-5938	163	3	]	]	PUNCT
american_scientific_journal-5938	163	4	.	.	PUNCT
american_scientific_journal-5938	164	1	sarraf	sarraf	PROPN
american_scientific_journal-5938	164	2	,	,	PUNCT
american_scientific_journal-5938	164	3	s.	s.	PROPN
american_scientific_journal-5938	164	4	,	,	PUNCT
american_scientific_journal-5938	164	5	binary	binary	ADJ
american_scientific_journal-5938	164	6	image	image	NOUN
american_scientific_journal-5938	164	7	segmentation	segmentation	NOUN
american_scientific_journal-5938	164	8	using	use	VERB
american_scientific_journal-5938	164	9	classification	classification	NOUN
american_scientific_journal-5938	164	10	methods	method	NOUN
american_scientific_journal-5938	164	11	:	:	PUNCT
american_scientific_journal-5938	164	12	support	support	NOUN
american_scientific_journal-5938	164	13	vector	vector	NOUN
american_scientific_journal-5938	164	14	machines	machine	NOUN
american_scientific_journal-5938	164	15	,	,	PUNCT
american_scientific_journal-5938	164	16	artificial	artificial	ADJ
american_scientific_journal-5938	164	17	neural	neural	ADJ
american_scientific_journal-5938	164	18	networks	network	NOUN
american_scientific_journal-5938	164	19	and	and	CCONJ
american_scientific_journal-5938	164	20	k	k	X
american_scientific_journal-5938	164	21	th	th	X
american_scientific_journal-5938	164	22	nearest	near	ADJ
american_scientific_journal-5938	164	23	neighbours	neighbour	NOUN
american_scientific_journal-5938	164	24	.	.	PUNCT
american_scientific_journal-5938	165	1	international	international	ADJ
american_scientific_journal-5938	165	2	journal	journal	NOUN
american_scientific_journal-5938	165	3	of	of	ADP
american_scientific_journal-5938	165	4	computer	computer	NOUN
american_scientific_journal-5938	165	5	(	(	PUNCT
american_scientific_journal-5938	165	6	ijc	ijc	PROPN
american_scientific_journal-5938	165	7	)	)	PUNCT
american_scientific_journal-5938	165	8	,	,	PUNCT
american_scientific_journal-5938	165	9	2017	2017	NUM
american_scientific_journal-5938	165	10	.	.	PUNCT
american_scientific_journal-5938	166	1	24(1	24(1	NUM
american_scientific_journal-5938	166	2	):	):	PUNCT
american_scientific_journal-5938	166	3	p.	p.	NOUN
american_scientific_journal-5938	166	4	56	56	NUM
american_scientific_journal-5938	166	5	-	-	SYM
american_scientific_journal-5938	166	6	79	79	NUM
american_scientific_journal-5938	166	7	.	.	PUNCT
american_scientific_journal-5938	167	1	[	[	X
american_scientific_journal-5938	167	2	3	3	NUM
american_scientific_journal-5938	167	3	]	]	PUNCT
american_scientific_journal-5938	167	4	.	.	PUNCT
american_scientific_journal-5938	168	1	shaikh	shaikh	PROPN
american_scientific_journal-5938	168	2	,	,	PUNCT
american_scientific_journal-5938	168	3	f.	f.	PROPN
american_scientific_journal-5938	168	4	,	,	PUNCT
american_scientific_journal-5938	168	5	10	10	NUM
american_scientific_journal-5938	168	6	advanced	advanced	ADJ
american_scientific_journal-5938	168	7	deep	deep	ADJ
american_scientific_journal-5938	168	8	learning	learning	NOUN
american_scientific_journal-5938	168	9	architectures	architecture	NOUN
american_scientific_journal-5938	168	10	data	datum	NOUN
american_scientific_journal-5938	168	11	scientists	scientist	NOUN
american_scientific_journal-5938	168	12	should	should	AUX
american_scientific_journal-5938	168	13	know	know	VERB
american_scientific_journal-5938	168	14	.	.	PUNCT
american_scientific_journal-5938	169	1	2017	2017	NUM
american_scientific_journal-5938	169	2	.	.	PUNCT
american_scientific_journal-5938	170	1	[	[	X
american_scientific_journal-5938	170	2	4	4	NUM
american_scientific_journal-5938	170	3	]	]	PUNCT
american_scientific_journal-5938	170	4	.	.	PUNCT
american_scientific_journal-5938	171	1	gu	gu	PROPN
american_scientific_journal-5938	171	2	,	,	PUNCT
american_scientific_journal-5938	171	3	j.	j.	PROPN
american_scientific_journal-5938	171	4	,	,	PUNCT
american_scientific_journal-5938	171	5	et	et	PROPN
american_scientific_journal-5938	171	6	al	al	PROPN
american_scientific_journal-5938	171	7	.	.	PROPN
american_scientific_journal-5938	171	8	,	,	PUNCT
american_scientific_journal-5938	171	9	recent	recent	ADJ
american_scientific_journal-5938	171	10	advances	advance	NOUN
american_scientific_journal-5938	171	11	in	in	ADP
american_scientific_journal-5938	171	12	convolutional	convolutional	ADJ
american_scientific_journal-5938	171	13	neural	neural	ADJ
american_scientific_journal-5938	171	14	networks	network	NOUN
american_scientific_journal-5938	171	15	.	.	PUNCT
american_scientific_journal-5938	172	1	pattern	pattern	NOUN
american_scientific_journal-5938	172	2	recognition	recognition	NOUN
american_scientific_journal-5938	172	3	,	,	PUNCT
american_scientific_journal-5938	172	4	2018	2018	NUM
american_scientific_journal-5938	172	5	.	.	PUNCT
american_scientific_journal-5938	173	1	77	77	NUM
american_scientific_journal-5938	173	2	:	:	PUNCT
american_scientific_journal-5938	174	1	p.	p.	NOUN
american_scientific_journal-5938	174	2	354377	354377	NUM
american_scientific_journal-5938	174	3	.	.	PUNCT
american_scientific_journal-5938	175	1	[	[	X
american_scientific_journal-5938	175	2	5	5	NUM
american_scientific_journal-5938	175	3	]	]	PUNCT
american_scientific_journal-5938	175	4	.	.	PUNCT
american_scientific_journal-5938	176	1	chen	chen	PROPN
american_scientific_journal-5938	176	2	,	,	PUNCT
american_scientific_journal-5938	176	3	y.	y.	PROPN
american_scientific_journal-5938	176	4	,	,	PUNCT
american_scientific_journal-5938	176	5	et	et	PROPN
american_scientific_journal-5938	176	6	al	al	PROPN
american_scientific_journal-5938	176	7	.	.	PROPN
american_scientific_journal-5938	176	8	,	,	PUNCT
american_scientific_journal-5938	176	9	deep	deep	ADJ
american_scientific_journal-5938	176	10	learning	learning	NOUN
american_scientific_journal-5938	176	11	-	-	PUNCT
american_scientific_journal-5938	176	12	based	base	VERB
american_scientific_journal-5938	176	13	classification	classification	NOUN
american_scientific_journal-5938	176	14	of	of	ADP
american_scientific_journal-5938	176	15	hyperspectral	hyperspectral	ADJ
american_scientific_journal-5938	176	16	data	datum	NOUN
american_scientific_journal-5938	176	17	.	.	PUNCT
american_scientific_journal-5938	177	1	ieee	ieee	PROPN
american_scientific_journal-5938	177	2	journal	journal	PROPN
american_scientific_journal-5938	177	3	of	of	ADP
american_scientific_journal-5938	177	4	selected	select	VERB
american_scientific_journal-5938	177	5	topics	topic	NOUN
american_scientific_journal-5938	177	6	in	in	ADP
american_scientific_journal-5938	177	7	applied	apply	VERB
american_scientific_journal-5938	177	8	earth	earth	NOUN
american_scientific_journal-5938	177	9	observations	observation	NOUN
american_scientific_journal-5938	177	10	and	and	CCONJ
american_scientific_journal-5938	177	11	remote	remote	ADJ
american_scientific_journal-5938	177	12	sensing	sensing	NOUN
american_scientific_journal-5938	177	13	,	,	PUNCT
american_scientific_journal-5938	177	14	2014	2014	NUM
american_scientific_journal-5938	177	15	.	.	PUNCT
american_scientific_journal-5938	178	1	7(6	7(6	NUM
american_scientific_journal-5938	178	2	):	):	PUNCT
american_scientific_journal-5938	179	1	p.	p.	NOUN
american_scientific_journal-5938	179	2	2094	2094	NUM
american_scientific_journal-5938	179	3	-	-	SYM
american_scientific_journal-5938	179	4	2107	2107	NUM
american_scientific_journal-5938	179	5	.	.	PUNCT
american_scientific_journal-5938	180	1	[	[	X
american_scientific_journal-5938	180	2	6	6	NUM
american_scientific_journal-5938	180	3	]	]	PUNCT
american_scientific_journal-5938	180	4	.	.	PUNCT
american_scientific_journal-5938	181	1	[	[	X
american_scientific_journal-5938	181	2	6	6	NUM
american_scientific_journal-5938	181	3	]	]	PUNCT
american_scientific_journal-5938	181	4	dureja	dureja	NOUN
american_scientific_journal-5938	181	5	,	,	PUNCT
american_scientific_journal-5938	181	6	a.	a.	NOUN
american_scientific_journal-5938	181	7	and	and	CCONJ
american_scientific_journal-5938	181	8	p.	p.	PROPN
american_scientific_journal-5938	181	9	pahwa	pahwa	PROPN
american_scientific_journal-5938	181	10	,	,	PUNCT
american_scientific_journal-5938	181	11	analysis	analysis	NOUN
american_scientific_journal-5938	181	12	of	of	ADP
american_scientific_journal-5938	181	13	non	non	ADJ
american_scientific_journal-5938	181	14	-	-	ADJ
american_scientific_journal-5938	181	15	linear	linear	ADJ
american_scientific_journal-5938	181	16	activation	activation	NOUN
american_scientific_journal-5938	181	17	functions	function	NOUN
american_scientific_journal-5938	181	18	for	for	ADP
american_scientific_journal-5938	181	19	classification	classification	NOUN
american_scientific_journal-5938	181	20	tasks	task	NOUN
american_scientific_journal-5938	181	21	using	use	VERB
american_scientific_journal-5938	181	22	convolutional	convolutional	ADJ
american_scientific_journal-5938	181	23	neural	neural	ADJ
american_scientific_journal-5938	181	24	networks	network	NOUN
american_scientific_journal-5938	181	25	.	.	PUNCT
american_scientific_journal-5938	182	1	recent	recent	ADJ
american_scientific_journal-5938	182	2	patents	patent	NOUN
american_scientific_journal-5938	182	3	on	on	ADP
american_scientific_journal-5938	182	4	computer	computer	NOUN
american_scientific_journal-5938	182	5	science	science	NOUN
american_scientific_journal-5938	182	6	,	,	PUNCT
american_scientific_journal-5938	182	7	2019	2019	NUM
american_scientific_journal-5938	182	8	.	.	PUNCT
american_scientific_journal-5938	183	1	12(3	12(3	NUM
american_scientific_journal-5938	183	2	):	):	PUNCT
american_scientific_journal-5938	184	1	p.	p.	NOUN
american_scientific_journal-5938	184	2	156	156	NUM
american_scientific_journal-5938	184	3	-	-	SYM
american_scientific_journal-5938	184	4	161	161	NUM
american_scientific_journal-5938	184	5	.	.	PUNCT
american_scientific_journal-5938	185	1	[	[	X
american_scientific_journal-5938	185	2	7	7	NUM
american_scientific_journal-5938	185	3	]	]	PUNCT
american_scientific_journal-5938	185	4	.	.	PUNCT
american_scientific_journal-5938	185	5	sarraf	sarraf	PROPN
american_scientific_journal-5938	185	6	,	,	PUNCT
american_scientific_journal-5938	185	7	s.	s.	PROPN
american_scientific_journal-5938	185	8	,	,	PUNCT
american_scientific_journal-5938	185	9	et	et	PROPN
american_scientific_journal-5938	185	10	al	al	PROPN
american_scientific_journal-5938	185	11	.	.	PROPN
american_scientific_journal-5938	185	12	brain	brain	PROPN
american_scientific_journal-5938	185	13	network	network	NOUN
american_scientific_journal-5938	185	14	extraction	extraction	NOUN
american_scientific_journal-5938	185	15	from	from	ADP
american_scientific_journal-5938	185	16	probabilistic	probabilistic	ADJ
american_scientific_journal-5938	185	17	ica	ica	PROPN
american_scientific_journal-5938	185	18	using	use	VERB
american_scientific_journal-5938	185	19	functional	functional	ADJ
american_scientific_journal-5938	185	20	magnetic	magnetic	ADJ
american_scientific_journal-5938	185	21	resonance	resonance	NOUN
american_scientific_journal-5938	185	22	images	image	NOUN
american_scientific_journal-5938	185	23	and	and	CCONJ
american_scientific_journal-5938	185	24	advanced	advanced	ADJ
american_scientific_journal-5938	185	25	template	template	NOUN
american_scientific_journal-5938	185	26	matching	matching	NOUN
american_scientific_journal-5938	185	27	techniques	technique	NOUN
american_scientific_journal-5938	185	28	.	.	PUNCT
american_scientific_journal-5938	186	1	in	in	ADP
american_scientific_journal-5938	186	2	2014	2014	NUM
american_scientific_journal-5938	186	3	ieee	ieee	NOUN
american_scientific_journal-5938	186	4	27th	27th	ADJ
american_scientific_journal-5938	186	5	canadian	canadian	ADJ
american_scientific_journal-5938	186	6	conference	conference	NOUN
american_scientific_journal-5938	186	7	on	on	ADP
american_scientific_journal-5938	186	8	electrical	electrical	ADJ
american_scientific_journal-5938	186	9	and	and	CCONJ
american_scientific_journal-5938	186	10	computer	computer	NOUN
american_scientific_journal-5938	186	11	engineering	engineering	NOUN
american_scientific_journal-5938	186	12	(	(	PUNCT
american_scientific_journal-5938	186	13	ccece	ccece	PROPN
american_scientific_journal-5938	186	14	)	)	PUNCT
american_scientific_journal-5938	186	15	.	.	PUNCT
american_scientific_journal-5938	186	16	2014	2014	NUM
american_scientific_journal-5938	186	17	.	.	PUNCT
american_scientific_journal-5938	187	1	ieee	ieee	NOUN
american_scientific_journal-5938	187	2	.	.	PUNCT
american_scientific_journal-5938	188	1	[	[	X
american_scientific_journal-5938	188	2	8	8	NUM
american_scientific_journal-5938	188	3	]	]	PUNCT
american_scientific_journal-5938	188	4	.	.	PUNCT
american_scientific_journal-5938	189	1	shanmukhi	shanmukhi	PROPN
american_scientific_journal-5938	189	2	,	,	PUNCT
american_scientific_journal-5938	189	3	m.	m.	NOUN
american_scientific_journal-5938	189	4	,	,	PUNCT
american_scientific_journal-5938	189	5	et	et	PROPN
american_scientific_journal-5938	189	6	al	al	PROPN
american_scientific_journal-5938	189	7	.	.	PROPN
american_scientific_journal-5938	189	8	,	,	PUNCT
american_scientific_journal-5938	189	9	convolutional	convolutional	ADJ
american_scientific_journal-5938	189	10	neural	neural	ADJ
american_scientific_journal-5938	189	11	network	network	NOUN
american_scientific_journal-5938	189	12	for	for	ADP
american_scientific_journal-5938	189	13	supervised	supervised	ADJ
american_scientific_journal-5938	189	14	image	image	NOUN
american_scientific_journal-5938	189	15	classification	classification	NOUN
american_scientific_journal-5938	189	16	.	.	PUNCT
american_scientific_journal-5938	190	1	international	international	ADJ
american_scientific_journal-5938	190	2	journal	journal	NOUN
american_scientific_journal-5938	190	3	of	of	ADP
american_scientific_journal-5938	190	4	pure	pure	ADJ
american_scientific_journal-5938	190	5	and	and	CCONJ
american_scientific_journal-5938	190	6	applied	applied	ADJ
american_scientific_journal-5938	190	7	mathematics	mathematic	NOUN
american_scientific_journal-5938	190	8	,	,	PUNCT
american_scientific_journal-5938	190	9	2018	2018	NUM
american_scientific_journal-5938	190	10	.	.	PUNCT
american_scientific_journal-5938	191	1	119(14	119(14	NUM
american_scientific_journal-5938	191	2	):	):	PUNCT
american_scientific_journal-5938	192	1	p.	p.	NOUN
american_scientific_journal-5938	192	2	77	77	NUM
american_scientific_journal-5938	192	3	-	-	SYM
american_scientific_journal-5938	192	4	83	83	NUM
american_scientific_journal-5938	192	5	.	.	PUNCT
american_scientific_journal-5938	193	1	[	[	X
american_scientific_journal-5938	193	2	9	9	NUM
american_scientific_journal-5938	193	3	]	]	SYM
american_scientific_journal-5938	193	4	.	.	PUNCT
american_scientific_journal-5938	193	5	shiddieqy	shiddieqy	PROPN
american_scientific_journal-5938	193	6	,	,	PUNCT
american_scientific_journal-5938	193	7	h.a	h.a	PROPN
american_scientific_journal-5938	193	8	.	.	PROPN
american_scientific_journal-5938	193	9	,	,	PUNCT
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american_scientific_journal-5938	193	11	.	.	PROPN
american_scientific_journal-5938	193	12	hariadi	hariadi	PROPN
american_scientific_journal-5938	193	13	,	,	PUNCT
american_scientific_journal-5938	193	14	and	and	CCONJ
american_scientific_journal-5938	193	15	t.	t.	PROPN
american_scientific_journal-5938	193	16	adiono	adiono	NOUN
american_scientific_journal-5938	193	17	.	.	PUNCT
american_scientific_journal-5938	194	1	implementation	implementation	NOUN
american_scientific_journal-5938	194	2	of	of	ADP
american_scientific_journal-5938	194	3	deep	deep	ADJ
american_scientific_journal-5938	194	4	-	-	PUNCT
american_scientific_journal-5938	194	5	learning	learn	VERB
american_scientific_journal-5938	194	6	based	base	VERB
american_scientific_journal-5938	194	7	image	image	NOUN
american_scientific_journal-5938	194	8	classification	classification	NOUN
american_scientific_journal-5938	194	9	on	on	ADP
american_scientific_journal-5938	194	10	single	single	ADJ
american_scientific_journal-5938	194	11	board	board	NOUN
american_scientific_journal-5938	194	12	computer	computer	NOUN
american_scientific_journal-5938	194	13	.	.	PUNCT
american_scientific_journal-5938	195	1	in	in	ADP
american_scientific_journal-5938	195	2	2017	2017	NUM
american_scientific_journal-5938	195	3	international	international	ADJ
american_scientific_journal-5938	195	4	symposium	symposium	NOUN
american_scientific_journal-5938	195	5	on	on	ADP
american_scientific_journal-5938	195	6	electronics	electronic	NOUN
american_scientific_journal-5938	195	7	and	and	CCONJ
american_scientific_journal-5938	195	8	smart	smart	ADJ
american_scientific_journal-5938	195	9	devices	device	NOUN
american_scientific_journal-5938	195	10	(	(	PUNCT
american_scientific_journal-5938	195	11	isesd	isesd	NOUN
american_scientific_journal-5938	195	12	)	)	PUNCT
american_scientific_journal-5938	195	13	.	.	PUNCT
american_scientific_journal-5938	195	14	2017	2017	NUM
american_scientific_journal-5938	195	15	.	.	PUNCT
american_scientific_journal-5938	196	1	ieee	ieee	NOUN
american_scientific_journal-5938	196	2	.	.	PUNCT
american_scientific_journal-5938	197	1	[	[	X
american_scientific_journal-5938	197	2	10	10	NUM
american_scientific_journal-5938	197	3	]	]	PUNCT
american_scientific_journal-5938	197	4	.	.	PUNCT
american_scientific_journal-5938	198	1	liu	liu	PROPN
american_scientific_journal-5938	198	2	,	,	PUNCT
american_scientific_journal-5938	198	3	b.	b.	PROPN
american_scientific_journal-5938	198	4	,	,	PUNCT
american_scientific_journal-5938	198	5	y.	y.	PROPN
american_scientific_journal-5938	198	6	liu	liu	PROPN
american_scientific_journal-5938	198	7	,	,	PUNCT
american_scientific_journal-5938	198	8	and	and	CCONJ
american_scientific_journal-5938	198	9	k.	k.	PROPN
american_scientific_journal-5938	198	10	zhou	zhou	PROPN
american_scientific_journal-5938	198	11	,	,	PUNCT
american_scientific_journal-5938	198	12	image	image	NOUN
american_scientific_journal-5938	198	13	classification	classification	NOUN
american_scientific_journal-5938	198	14	for	for	ADP
american_scientific_journal-5938	198	15	dogs	dog	NOUN
american_scientific_journal-5938	198	16	and	and	CCONJ
american_scientific_journal-5938	198	17	cats	cat	NOUN
american_scientific_journal-5938	198	18	.	.	PUNCT
american_scientific_journal-5938	199	1	2014	2014	NUM
american_scientific_journal-5938	199	2	.	.	PUNCT
american_scientific_journal-5938	200	1	[	[	X
american_scientific_journal-5938	200	2	11	11	NUM
american_scientific_journal-5938	200	3	]	]	PUNCT
american_scientific_journal-5938	200	4	.	.	PUNCT
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american_scientific_journal-5938	200	6	,	,	PUNCT
american_scientific_journal-5938	200	7	s.	s.	PROPN
american_scientific_journal-5938	200	8	french	french	ADJ
american_scientific_journal-5938	200	9	word	word	NOUN
american_scientific_journal-5938	200	10	recognition	recognition	NOUN
american_scientific_journal-5938	200	11	through	through	ADP
american_scientific_journal-5938	200	12	a	a	DET
american_scientific_journal-5938	200	13	quick	quick	ADJ
american_scientific_journal-5938	200	14	survey	survey	NOUN
american_scientific_journal-5938	200	15	on	on	ADP
american_scientific_journal-5938	200	16	recurrent	recurrent	ADJ
american_scientific_journal-5938	200	17	neural	neural	ADJ
american_scientific_journal-5938	200	18	networks	network	NOUN
american_scientific_journal-5938	200	19	using	use	VERB
american_scientific_journal-5938	200	20	long	long	ADV
american_scientific_journal-5938	200	21	-	-	PUNCT
american_scientific_journal-5938	200	22	short	short	ADJ
american_scientific_journal-5938	200	23	term	term	NOUN
american_scientific_journal-5938	200	24	memory	memory	NOUN
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american_scientific_journal-5938	200	26	-	-	PUNCT
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american_scientific_journal-5938	200	28	.	.	PUNCT
american_scientific_journal-5938	201	1	american	american	ADJ
american_scientific_journal-5938	201	2	scientific	scientific	ADJ
american_scientific_journal-5938	201	3	research	research	PROPN
american_scientific_journal-5938	201	4	journal	journal	NOUN
american_scientific_journal-5938	201	5	for	for	ADP
american_scientific_journal-5938	201	6	engineering	engineering	NOUN
american_scientific_journal-5938	201	7	,	,	PUNCT
american_scientific_journal-5938	201	8	technology	technology	NOUN
american_scientific_journal-5938	201	9	,	,	PUNCT
american_scientific_journal-5938	201	10	and	and	CCONJ
american_scientific_journal-5938	201	11	sciences	science	NOUN
american_scientific_journal-5938	201	12	(	(	PUNCT
american_scientific_journal-5938	201	13	asrjets	asrjet	NOUN
american_scientific_journal-5938	201	14	)	)	PUNCT
american_scientific_journal-5938	201	15	,	,	PUNCT
american_scientific_journal-5938	201	16	39	39	NUM
american_scientific_journal-5938	201	17	,	,	PUNCT
american_scientific_journal-5938	201	18	no	no	INTJ
american_scientific_journal-5938	201	19	.	.	NOUN
american_scientific_journal-5938	201	20	1	1	NUM
american_scientific_journal-5938	201	21	(	(	PUNCT
american_scientific_journal-5938	201	22	2018	2018	NUM
american_scientific_journal-5938	201	23	):	):	PUNCT
american_scientific_journal-5938	201	24	250	250	NUM
american_scientific_journal-5938	201	25	-	-	SYM
american_scientific_journal-5938	201	26	267	267	NUM
american_scientific_journal-5938	201	27	.	.	PUNCT
american_scientific_journal-5938	202	1	[	[	X
american_scientific_journal-5938	202	2	12	12	NUM
american_scientific_journal-5938	202	3	]	]	PUNCT
american_scientific_journal-5938	202	4	.	.	PUNCT
american_scientific_journal-5938	203	1	cengil	cengil	PROPN
american_scientific_journal-5938	203	2	,	,	PUNCT
american_scientific_journal-5938	203	3	e.	e.	PROPN
american_scientific_journal-5938	203	4	,	,	PUNCT
american_scientific_journal-5938	203	5	a.	a.	NOUN
american_scientific_journal-5938	203	6	çinar	çinar	PROPN
american_scientific_journal-5938	203	7	,	,	PUNCT
american_scientific_journal-5938	203	8	and	and	CCONJ
american_scientific_journal-5938	203	9	z.	z.	PROPN
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american_scientific_journal-5938	203	11	.	.	PUNCT
american_scientific_journal-5938	204	1	a	a	DET
american_scientific_journal-5938	204	2	gpu	gpu	NOUN
american_scientific_journal-5938	204	3	-	-	PUNCT
american_scientific_journal-5938	204	4	based	base	VERB
american_scientific_journal-5938	204	5	convolutional	convolutional	ADJ
american_scientific_journal-5938	204	6	neural	neural	ADJ
american_scientific_journal-5938	204	7	network	network	NOUN
american_scientific_journal-5938	204	8	approach	approach	NOUN
american_scientific_journal-5938	204	9	for	for	ADP
american_scientific_journal-5938	204	10	image	image	NOUN
american_scientific_journal-5938	204	11	classification	classification	NOUN
american_scientific_journal-5938	204	12	.	.	PUNCT
american_scientific_journal-5938	205	1	in	in	ADP
american_scientific_journal-5938	205	2	2017	2017	NUM
american_scientific_journal-5938	205	3	international	international	ADJ
american_scientific_journal-5938	205	4	artificial	artificial	ADJ
american_scientific_journal-5938	205	5	intelligence	intelligence	NOUN
american_scientific_journal-5938	205	6	and	and	CCONJ
american_scientific_journal-5938	205	7	data	datum	NOUN
american_scientific_journal-5938	205	8	processing	processing	NOUN
american_scientific_journal-5938	205	9	symposium	symposium	NOUN
american_scientific_journal-5938	205	10	(	(	PUNCT
american_scientific_journal-5938	205	11	idap	idap	NOUN
american_scientific_journal-5938	205	12	)	)	PUNCT
american_scientific_journal-5938	205	13	.	.	PUNCT
american_scientific_journal-5938	205	14	2017	2017	NUM
american_scientific_journal-5938	205	15	.	.	PUNCT
american_scientific_journal-5938	205	16	ieee	ieee	NOUN
american_scientific_journal-5938	205	17	.	.	PUNCT
american_scientific_journal-5938	206	1	[	[	X
american_scientific_journal-5938	206	2	13	13	NUM
american_scientific_journal-5938	206	3	]	]	SYM
american_scientific_journal-5938	206	4	.	.	PUNCT
american_scientific_journal-5938	206	5	bandhu	bandhu	PROPN
american_scientific_journal-5938	206	6	,	,	PUNCT
american_scientific_journal-5938	206	7	a.	a.	NOUN
american_scientific_journal-5938	206	8	and	and	CCONJ
american_scientific_journal-5938	206	9	s.s	s.s	PROPN
american_scientific_journal-5938	206	10	.	.	PROPN
american_scientific_journal-5938	206	11	roy	roy	PROPN
american_scientific_journal-5938	206	12	.	.	PROPN
american_scientific_journal-5938	207	1	classifying	classify	VERB
american_scientific_journal-5938	207	2	multi	multi	ADJ
american_scientific_journal-5938	207	3	-	-	ADJ
american_scientific_journal-5938	207	4	category	category	ADJ
american_scientific_journal-5938	207	5	images	image	NOUN
american_scientific_journal-5938	207	6	using	use	VERB
american_scientific_journal-5938	207	7	deep	deep	ADJ
american_scientific_journal-5938	207	8	learning	learning	NOUN
american_scientific_journal-5938	207	9	:	:	PUNCT
american_scientific_journal-5938	207	10	a	a	DET
american_scientific_journal-5938	207	11	convolutional	convolutional	ADJ
american_scientific_journal-5938	207	12	neural	neural	ADJ
american_scientific_journal-5938	207	13	network	network	NOUN
american_scientific_journal-5938	207	14	model	model	NOUN
american_scientific_journal-5938	207	15	.	.	PUNCT
american_scientific_journal-5938	208	1	in	in	ADP
american_scientific_journal-5938	208	2	2017	2017	NUM
american_scientific_journal-5938	208	3	2nd	2nd	ADJ
american_scientific_journal-5938	208	4	ieee	ieee	PROPN
american_scientific_journal-5938	208	5	international	international	PROPN
american_scientific_journal-5938	208	6	conference	conference	NOUN
american_scientific_journal-5938	208	7	on	on	ADP
american_scientific_journal-5938	208	8	recent	recent	ADJ
american_scientific_journal-5938	208	9	trends	trend	NOUN
american_scientific_journal-5938	208	10	in	in	ADP
american_scientific_journal-5938	208	11	electronics	electronic	NOUN
american_scientific_journal-5938	208	12	,	,	PUNCT
american_scientific_journal-5938	208	13	information	information	NOUN
american_scientific_journal-5938	208	14	&	&	CCONJ
american_scientific_journal-5938	208	15	communication	communication	NOUN
american_scientific_journal-5938	208	16	technology	technology	NOUN
american_scientific_journal-5938	208	17	(	(	PUNCT
american_scientific_journal-5938	208	18	rteict	rteict	PROPN
american_scientific_journal-5938	208	19	)	)	PUNCT
american_scientific_journal-5938	208	20	.	.	PUNCT
american_scientific_journal-5938	209	1	2017	2017	NUM
american_scientific_journal-5938	209	2	.	.	PUNCT
american_scientific_journal-5938	210	1	ieee	ieee	NOUN
american_scientific_journal-5938	210	2	.	.	PUNCT
american_scientific_journal-5938	211	1	[	[	X
american_scientific_journal-5938	211	2	14	14	NUM
american_scientific_journal-5938	211	3	]	]	SYM
american_scientific_journal-5938	211	4	.	.	PUNCT
american_scientific_journal-5938	212	1	jajodia	jajodia	PROPN
american_scientific_journal-5938	212	2	,	,	PUNCT
american_scientific_journal-5938	212	3	t.	t.	PROPN
american_scientific_journal-5938	212	4	and	and	CCONJ
american_scientific_journal-5938	212	5	p.	p.	PROPN
american_scientific_journal-5938	212	6	garg	garg	NOUN
american_scientific_journal-5938	212	7	,	,	PUNCT
american_scientific_journal-5938	212	8	image	image	NOUN
american_scientific_journal-5938	212	9	classification	classification	NOUN
american_scientific_journal-5938	212	10	–	–	PUNCT
american_scientific_journal-5938	212	11	cat	cat	NOUN
american_scientific_journal-5938	212	12	and	and	CCONJ
american_scientific_journal-5938	212	13	dog	dog	NOUN
american_scientific_journal-5938	212	14	images	image	NOUN
american_scientific_journal-5938	212	15	.	.	PUNCT
american_scientific_journal-5938	213	1	image	image	NOUN
american_scientific_journal-5938	213	2	,	,	PUNCT
american_scientific_journal-5938	213	3	2019	2019	NUM
american_scientific_journal-5938	213	4	.	.	PUNCT
american_scientific_journal-5938	213	5	6(12	6(12	NUM
american_scientific_journal-5938	213	6	)	)	PUNCT
american_scientific_journal-5938	213	7	.	.	PUNCT
american_scientific_journal-5938	214	1	[	[	X
american_scientific_journal-5938	214	2	15	15	NUM
american_scientific_journal-5938	214	3	]	]	SYM
american_scientific_journal-5938	214	4	.	.	PUNCT
american_scientific_journal-5938	215	1	naidoo	naidoo	PROPN
american_scientific_journal-5938	215	2	,	,	PUNCT
american_scientific_journal-5938	215	3	k.	k.	PROPN
american_scientific_journal-5938	215	4	,	,	PUNCT
american_scientific_journal-5938	215	5	o.	o.	PROPN
american_scientific_journal-5938	215	6	konan	konan	PROPN
american_scientific_journal-5938	215	7	,	,	PUNCT
american_scientific_journal-5938	215	8	and	and	CCONJ
american_scientific_journal-5938	215	9	l.	l.	PROPN
american_scientific_journal-5938	215	10	schwartzkopff	schwartzkopff	PROPN
american_scientific_journal-5938	215	11	.	.	PUNCT
american_scientific_journal-5938	216	1	hardware	hardware	NOUN
american_scientific_journal-5938	216	2	accelerated	accelerate	VERB
american_scientific_journal-5938	216	3	convolutional	convolutional	ADJ
american_scientific_journal-5938	216	4	neural	neural	ADJ
american_scientific_journal-5938	216	5	networks	network	NOUN
american_scientific_journal-5938	216	6	.	.	PUNCT
american_scientific_journal-5938	217	1	in	in	ADP
american_scientific_journal-5938	217	2	proceedings	proceeding	NOUN
american_scientific_journal-5938	217	3	of	of	ADP
american_scientific_journal-5938	217	4	2010	2010	NUM
american_scientific_journal-5938	217	5	ieee	ieee	NOUN
american_scientific_journal-5938	217	6	international	international	ADJ
american_scientific_journal-5938	217	7	symposium	symposium	NOUN
american_scientific_journal-5938	217	8	on	on	ADP
american_scientific_journal-5938	217	9	circuits	circuit	NOUN
american_scientific_journal-5938	217	10	and	and	CCONJ
american_scientific_journal-5938	217	11	systems	system	NOUN
american_scientific_journal-5938	217	12	(	(	PUNCT
american_scientific_journal-5938	217	13	iscas	iscas	PROPN
american_scientific_journal-5938	217	14	)	)	PUNCT
american_scientific_journal-5938	217	15	.	.	PUNCT
american_scientific_journal-5938	218	1	[	[	X
american_scientific_journal-5938	218	2	16	16	NUM
american_scientific_journal-5938	218	3	]	]	PUNCT
american_scientific_journal-5938	218	4	.	.	PUNCT
american_scientific_journal-5938	218	5	sarraf	sarraf	PROPN
american_scientific_journal-5938	218	6	,	,	PUNCT
american_scientific_journal-5938	218	7	s.	s.	PROPN
american_scientific_journal-5938	218	8	,	,	PUNCT
american_scientific_journal-5938	218	9	hair	hair	NOUN
american_scientific_journal-5938	218	10	color	color	NOUN
american_scientific_journal-5938	218	11	classification	classification	NOUN
american_scientific_journal-5938	218	12	in	in	ADP
american_scientific_journal-5938	218	13	face	face	NOUN
american_scientific_journal-5938	218	14	recognition	recognition	NOUN
american_scientific_journal-5938	218	15	using	use	VERB
american_scientific_journal-5938	218	16	machine	machine	NOUN
american_scientific_journal-5938	218	17	learning	learning	NOUN
american_scientific_journal-5938	218	18	algorithms	algorithm	NOUN
american_scientific_journal-5938	218	19	.	.	PUNCT
american_scientific_journal-5938	219	1	american	american	ADJ
american_scientific_journal-5938	219	2	scientific	scientific	ADJ
american_scientific_journal-5938	219	3	research	research	PROPN
american_scientific_journal-5938	219	4	journal	journal	NOUN
american_scientific_journal-5938	219	5	for	for	ADP
american_scientific_journal-5938	219	6	engineering	engineering	NOUN
american_scientific_journal-5938	219	7	,	,	PUNCT
american_scientific_journal-5938	219	8	technology	technology	NOUN
american_scientific_journal-5938	219	9	,	,	PUNCT
american_scientific_journal-5938	219	10	and	and	CCONJ
american_scientific_journal-5938	219	11	sciences	science	NOUN
american_scientific_journal-5938	219	12	(	(	PUNCT
american_scientific_journal-5938	219	13	asrjets	asrjet	NOUN
american_scientific_journal-5938	219	14	)	)	PUNCT
american_scientific_journal-5938	219	15	,	,	PUNCT
american_scientific_journal-5938	219	16	2016	2016	NUM
american_scientific_journal-5938	219	17	.	.	PUNCT
american_scientific_journal-5938	220	1	26(3	26(3	NUM
american_scientific_journal-5938	220	2	):	):	PUNCT
american_scientific_journal-5938	220	3	p.	p.	NOUN
american_scientific_journal-5938	220	4	317	317	NUM
american_scientific_journal-5938	220	5	-	-	SYM
american_scientific_journal-5938	220	6	334	334	NUM
american_scientific_journal-5938	220	7	.	.	PUNCT
american_scientific_journal-5938	221	1	[	[	X
american_scientific_journal-5938	221	2	17	17	NUM
american_scientific_journal-5938	221	3	]	]	PUNCT
american_scientific_journal-5938	221	4	.	.	PUNCT
american_scientific_journal-5938	222	1	sarraf	sarraf	PROPN
american_scientific_journal-5938	222	2	,	,	PUNCT
american_scientific_journal-5938	222	3	s.	s.	PROPN
american_scientific_journal-5938	222	4	,	,	PUNCT
american_scientific_journal-5938	222	5	c.	c.	PROPN
american_scientific_journal-5938	222	6	saverino	saverino	PROPN
american_scientific_journal-5938	222	7	,	,	PUNCT
american_scientific_journal-5938	222	8	and	and	CCONJ
american_scientific_journal-5938	222	9	a.m.	a.m.	PROPN
american_scientific_journal-5938	222	10	golestani	golestani	PROPN
american_scientific_journal-5938	222	11	.	.	PUNCT
american_scientific_journal-5938	223	1	a	a	DET
american_scientific_journal-5938	223	2	robust	robust	ADJ
american_scientific_journal-5938	223	3	and	and	CCONJ
american_scientific_journal-5938	223	4	adaptive	adaptive	ADJ
american_scientific_journal-5938	223	5	decision	decision	NOUN
american_scientific_journal-5938	223	6	-	-	PUNCT
american_scientific_journal-5938	223	7	making	make	VERB
american_scientific_journal-5938	223	8	algorithm	algorithm	NOUN
american_scientific_journal-5938	223	9	for	for	ADP
american_scientific_journal-5938	223	10	detecting	detect	VERB
american_scientific_journal-5938	223	11	brain	brain	NOUN
american_scientific_journal-5938	223	12	networks	network	NOUN
american_scientific_journal-5938	223	13	using	use	VERB
american_scientific_journal-5938	223	14	functional	functional	ADJ
american_scientific_journal-5938	223	15	mri	mri	NOUN
american_scientific_journal-5938	223	16	within	within	ADP
american_scientific_journal-5938	223	17	the	the	DET
american_scientific_journal-5938	223	18	spatial	spatial	ADJ
american_scientific_journal-5938	223	19	and	and	CCONJ
american_scientific_journal-5938	223	20	frequency	frequency	NOUN
american_scientific_journal-5938	223	21	domain	domain	NOUN
american_scientific_journal-5938	223	22	.	.	PUNCT
american_scientific_journal-5938	224	1	in	in	ADP
american_scientific_journal-5938	224	2	2016	2016	NUM
american_scientific_journal-5938	224	3	ieeeembs	ieeeembs	ADJ
american_scientific_journal-5938	224	4	international	international	ADJ
american_scientific_journal-5938	224	5	conference	conference	NOUN
american_scientific_journal-5938	224	6	on	on	ADP
american_scientific_journal-5938	224	7	biomedical	biomedical	ADJ
american_scientific_journal-5938	224	8	and	and	CCONJ
american_scientific_journal-5938	224	9	health	health	NOUN
american_scientific_journal-5938	224	10	informatics	informatic	NOUN
american_scientific_journal-5938	224	11	(	(	PUNCT
american_scientific_journal-5938	224	12	bhi	bhi	PROPN
american_scientific_journal-5938	224	13	)	)	PUNCT
american_scientific_journal-5938	224	14	.	.	PUNCT
american_scientific_journal-5938	225	1	2016	2016	NUM
american_scientific_journal-5938	225	2	.	.	PUNCT
american_scientific_journal-5938	226	1	ieee	ieee	NOUN
american_scientific_journal-5938	226	2	.	.	PUNCT
american_scientific_journal-5938	227	1	[	[	X
american_scientific_journal-5938	227	2	18	18	NUM
american_scientific_journal-5938	227	3	]	]	PUNCT
american_scientific_journal-5938	227	4	.	.	PUNCT
american_scientific_journal-5938	227	5	sarraf	sarraf	PROPN
american_scientific_journal-5938	227	6	,	,	PUNCT
american_scientific_journal-5938	227	7	s.	s.	PROPN
american_scientific_journal-5938	227	8	and	and	CCONJ
american_scientific_journal-5938	227	9	g.	g.	PROPN
american_scientific_journal-5938	227	10	tofighi	tofighi	PROPN
american_scientific_journal-5938	227	11	.	.	PUNCT
american_scientific_journal-5938	228	1	deep	deep	ADJ
american_scientific_journal-5938	228	2	learning	learning	NOUN
american_scientific_journal-5938	228	3	-	-	PUNCT
american_scientific_journal-5938	228	4	based	base	VERB
american_scientific_journal-5938	228	5	pipeline	pipeline	NOUN
american_scientific_journal-5938	228	6	to	to	PART
american_scientific_journal-5938	228	7	recognize	recognize	VERB
american_scientific_journal-5938	228	8	alzheimer‟s	alzheimer‟s	DET
american_scientific_journal-5938	228	9	disease	disease	NOUN
american_scientific_journal-5938	228	10	using	use	VERB
american_scientific_journal-5938	228	11	fmri	fmri	PROPN
american_scientific_journal-5938	228	12	data	datum	NOUN
american_scientific_journal-5938	228	13	.	.	PUNCT
american_scientific_journal-5938	229	1	in	in	ADP
american_scientific_journal-5938	229	2	2016	2016	NUM
american_scientific_journal-5938	229	3	future	future	ADJ
american_scientific_journal-5938	229	4	technologies	technology	NOUN
american_scientific_journal-5938	229	5	conference	conference	NOUN
american_scientific_journal-5938	229	6	(	(	PUNCT
american_scientific_journal-5938	229	7	ftc	ftc	PROPN
american_scientific_journal-5938	229	8	)	)	PUNCT
american_scientific_journal-5938	229	9	.	.	PUNCT
american_scientific_journal-5938	230	1	2016	2016	NUM
american_scientific_journal-5938	230	2	.	.	PUNCT
american_scientific_journal-5938	231	1	ieee	ieee	NOUN
american_scientific_journal-5938	231	2	.	.	PUNCT
american_scientific_journal-5938	232	1	[	[	X
american_scientific_journal-5938	232	2	19	19	NUM
american_scientific_journal-5938	232	3	]	]	PUNCT
american_scientific_journal-5938	232	4	.	.	PUNCT
american_scientific_journal-5938	232	5	sarraf	sarraf	PROPN
american_scientific_journal-5938	232	6	,	,	PUNCT
american_scientific_journal-5938	232	7	s.	s.	PROPN
american_scientific_journal-5938	232	8	,	,	PUNCT
american_scientific_journal-5938	232	9	et	et	PROPN
american_scientific_journal-5938	232	10	al	al	PROPN
american_scientific_journal-5938	232	11	.	.	PROPN
american_scientific_journal-5938	232	12	,	,	PUNCT
american_scientific_journal-5938	232	13	mcadnnet	mcadnnet	ADJ
american_scientific_journal-5938	232	14	:	:	PUNCT
american_scientific_journal-5938	232	15	recognizing	recognize	VERB
american_scientific_journal-5938	232	16	stages	stage	NOUN
american_scientific_journal-5938	232	17	of	of	ADP
american_scientific_journal-5938	232	18	cognitive	cognitive	ADJ
american_scientific_journal-5938	232	19	impairment	impairment	NOUN
american_scientific_journal-5938	232	20	through	through	ADP
american_scientific_journal-5938	232	21	efficient	efficient	ADJ
american_scientific_journal-5938	232	22	american	american	ADJ
american_scientific_journal-5938	232	23	scientific	scientific	ADJ
american_scientific_journal-5938	232	24	research	research	NOUN
american_scientific_journal-5938	232	25	journal	journal	NOUN
american_scientific_journal-5938	232	26	for	for	ADP
american_scientific_journal-5938	232	27	engineering	engineering	NOUN
american_scientific_journal-5938	232	28	,	,	PUNCT
american_scientific_journal-5938	232	29	technology	technology	NOUN
american_scientific_journal-5938	232	30	,	,	PUNCT
american_scientific_journal-5938	232	31	and	and	CCONJ
american_scientific_journal-5938	232	32	sciences	science	NOUN
american_scientific_journal-5938	232	33	(	(	PUNCT
american_scientific_journal-5938	232	34	asrjets	asrjet	NOUN
american_scientific_journal-5938	232	35	)	)	PUNCT
american_scientific_journal-5938	232	36	(	(	PUNCT
american_scientific_journal-5938	232	37	2020	2020	NUM
american_scientific_journal-5938	232	38	)	)	PUNCT
american_scientific_journal-5938	232	39	volume	volume	NOUN
american_scientific_journal-5938	232	40	68	68	NUM
american_scientific_journal-5938	232	41	,	,	PUNCT
american_scientific_journal-5938	232	42	no	no	DET
american_scientific_journal-5938	232	43	1	1	NUM
american_scientific_journal-5938	232	44	,	,	PUNCT
american_scientific_journal-5938	232	45	pp	pp	ADV
american_scientific_journal-5938	232	46	181	181	NUM
american_scientific_journal-5938	232	47	-	-	SYM
american_scientific_journal-5938	232	48	192	192	NUM
american_scientific_journal-5938	232	49	192	192	NUM
american_scientific_journal-5938	232	50	convolutional	convolutional	ADJ
american_scientific_journal-5938	232	51	fmri	fmri	NOUN
american_scientific_journal-5938	232	52	and	and	CCONJ
american_scientific_journal-5938	232	53	mri	mri	NOUN
american_scientific_journal-5938	232	54	neural	neural	ADJ
american_scientific_journal-5938	232	55	network	network	NOUN
american_scientific_journal-5938	232	56	topology	topology	NOUN
american_scientific_journal-5938	232	57	models	model	NOUN
american_scientific_journal-5938	232	58	.	.	PUNCT
american_scientific_journal-5938	233	1	ieee	ieee	NOUN
american_scientific_journal-5938	233	2	access	access	NOUN
american_scientific_journal-5938	233	3	,	,	PUNCT
american_scientific_journal-5938	233	4	2019	2019	NUM
american_scientific_journal-5938	233	5	.	.	PUNCT
american_scientific_journal-5938	234	1	7	7	NUM
american_scientific_journal-5938	234	2	:	:	PUNCT
american_scientific_journal-5938	234	3	p.	p.	NOUN
american_scientific_journal-5938	234	4	155584155600	155584155600	NUM
american_scientific_journal-5938	234	5	.	.	PUNCT
american_scientific_journal-5938	235	1	[	[	X
american_scientific_journal-5938	235	2	20	20	NUM
american_scientific_journal-5938	235	3	]	]	PUNCT
american_scientific_journal-5938	235	4	.	.	PUNCT
american_scientific_journal-5938	236	1	[	[	X
american_scientific_journal-5938	236	2	20	20	NUM
american_scientific_journal-5938	236	3	]	]	PUNCT
american_scientific_journal-5938	236	4	sarraf	sarraf	NOUN
american_scientific_journal-5938	236	5	,	,	PUNCT
american_scientific_journal-5938	236	6	s.	s.	PROPN
american_scientific_journal-5938	236	7	,	,	PUNCT
american_scientific_journal-5938	236	8	g.	g.	PROPN
american_scientific_journal-5938	236	9	tofighi	tofighi	PROPN
american_scientific_journal-5938	236	10	,	,	PUNCT
american_scientific_journal-5938	236	11	and	and	CCONJ
american_scientific_journal-5938	236	12	a.s.d.n	a.s.d.n	PROPN
american_scientific_journal-5938	236	13	.	.	PROPN
american_scientific_journal-5938	236	14	initiative	initiative	NOUN
american_scientific_journal-5938	236	15	,	,	PUNCT
american_scientific_journal-5938	236	16	deepad	deepad	PROPN
american_scientific_journal-5938	236	17	:	:	PUNCT
american_scientific_journal-5938	236	18	alzheimer‟s	alzheimer‟s	PRON
american_scientific_journal-5938	236	19	disease	disease	NOUN
american_scientific_journal-5938	236	20	classification	classification	NOUN
american_scientific_journal-5938	236	21	via	via	ADP
american_scientific_journal-5938	236	22	deep	deep	ADJ
american_scientific_journal-5938	236	23	convolutional	convolutional	ADJ
american_scientific_journal-5938	236	24	neural	neural	ADJ
american_scientific_journal-5938	236	25	networks	network	NOUN
american_scientific_journal-5938	236	26	using	use	VERB
american_scientific_journal-5938	236	27	mri	mri	NOUN
american_scientific_journal-5938	236	28	and	and	CCONJ
american_scientific_journal-5938	236	29	fmri	fmri	NOUN
american_scientific_journal-5938	236	30	.	.	PUNCT
american_scientific_journal-5938	237	1	biorxiv	biorxiv	NOUN
american_scientific_journal-5938	237	2	,	,	PUNCT
american_scientific_journal-5938	237	3	2016	2016	NUM
american_scientific_journal-5938	237	4	:	:	PUNCT
american_scientific_journal-5938	238	1	p.	p.	NOUN
american_scientific_journal-5938	238	2	070441	070441	NUM
american_scientific_journal-5938	238	3	.	.	PUNCT
american_scientific_journal-5938	239	1	[	[	X
american_scientific_journal-5938	239	2	21	21	NUM
american_scientific_journal-5938	239	3	]	]	PUNCT
american_scientific_journal-5938	239	4	.	.	PUNCT
american_scientific_journal-5938	240	1	hinton	hinton	PROPN
american_scientific_journal-5938	240	2	,	,	PUNCT
american_scientific_journal-5938	240	3	g.e	g.e	PROPN
american_scientific_journal-5938	240	4	.	.	PROPN
american_scientific_journal-5938	240	5	,	,	PUNCT
american_scientific_journal-5938	240	6	et	et	PROPN
american_scientific_journal-5938	240	7	al	al	PROPN
american_scientific_journal-5938	240	8	.	.	PROPN
american_scientific_journal-5938	240	9	,	,	PUNCT
american_scientific_journal-5938	240	10	improving	improve	VERB
american_scientific_journal-5938	240	11	neural	neural	ADJ
american_scientific_journal-5938	240	12	networks	network	NOUN
american_scientific_journal-5938	240	13	by	by	ADP
american_scientific_journal-5938	240	14	preventing	prevent	VERB
american_scientific_journal-5938	240	15	co	co	NOUN
american_scientific_journal-5938	240	16	-	-	NOUN
american_scientific_journal-5938	240	17	adaptation	adaptation	NOUN
american_scientific_journal-5938	240	18	of	of	ADP
american_scientific_journal-5938	240	19	feature	feature	NOUN
american_scientific_journal-5938	240	20	detectors	detector	NOUN
american_scientific_journal-5938	240	21	.	.	PUNCT
american_scientific_journal-5938	241	1	arxiv	arxiv	PROPN
american_scientific_journal-5938	241	2	preprint	preprint	PROPN
american_scientific_journal-5938	241	3	arxiv:1207.0580	arxiv:1207.0580	PROPN
american_scientific_journal-5938	241	4	,	,	PUNCT
american_scientific_journal-5938	241	5	2012	2012	NUM
american_scientific_journal-5938	241	6	.	.	PUNCT
american_scientific_journal-5938	242	1	[	[	X
american_scientific_journal-5938	242	2	22	22	NUM
american_scientific_journal-5938	242	3	]	]	PUNCT
american_scientific_journal-5938	242	4	.	.	PUNCT
american_scientific_journal-5938	243	1	gavrilov	gavrilov	PROPN
american_scientific_journal-5938	243	2	,	,	PUNCT
american_scientific_journal-5938	243	3	a.d	a.d	PROPN
american_scientific_journal-5938	243	4	.	.	PROPN
american_scientific_journal-5938	243	5	,	,	PUNCT
american_scientific_journal-5938	243	6	et	et	PROPN
american_scientific_journal-5938	243	7	al	al	PROPN
american_scientific_journal-5938	243	8	.	.	PROPN
american_scientific_journal-5938	243	9	,	,	PUNCT
american_scientific_journal-5938	243	10	preventing	prevent	VERB
american_scientific_journal-5938	243	11	model	model	NOUN
american_scientific_journal-5938	243	12	overfitting	overfitting	NOUN
american_scientific_journal-5938	243	13	and	and	CCONJ
american_scientific_journal-5938	243	14	underfitting	underfitting	NOUN
american_scientific_journal-5938	243	15	in	in	ADP
american_scientific_journal-5938	243	16	convolutional	convolutional	ADJ
american_scientific_journal-5938	243	17	neural	neural	ADJ
american_scientific_journal-5938	243	18	networks	network	NOUN
american_scientific_journal-5938	243	19	.	.	PUNCT
american_scientific_journal-5938	244	1	international	international	ADJ
american_scientific_journal-5938	244	2	journal	journal	PROPN
american_scientific_journal-5938	244	3	of	of	ADP
american_scientific_journal-5938	244	4	software	software	NOUN
american_scientific_journal-5938	244	5	science	science	NOUN
american_scientific_journal-5938	244	6	and	and	CCONJ
american_scientific_journal-5938	244	7	computational	computational	ADJ
american_scientific_journal-5938	244	8	intelligence	intelligence	NOUN
american_scientific_journal-5938	244	9	(	(	PUNCT
american_scientific_journal-5938	244	10	ijssci	ijssci	PROPN
american_scientific_journal-5938	244	11	)	)	PUNCT
american_scientific_journal-5938	244	12	,	,	PUNCT
american_scientific_journal-5938	244	13	2018	2018	NUM
american_scientific_journal-5938	244	14	.	.	PUNCT
american_scientific_journal-5938	245	1	10(4	10(4	NUM
american_scientific_journal-5938	245	2	):	):	PUNCT
american_scientific_journal-5938	245	3	p.	p.	NOUN
american_scientific_journal-5938	245	4	1928	1928	NUM
american_scientific_journal-5938	245	5	.	.	PUNCT