id	domain	url
cana-3280	internationalpubls.com	https://internationalpubls.com
cana-3280	internationalpubls.com	https://internationalpubls.com
cana-3280	internationalpubls.com	https://internationalpubls.com
cana-3280	internationalpubls.com	https://internationalpubls.com
cana-3280	www.crcv.ucf.edu	https://www.crcv.ucf.edu/data/ucf50.php
cana-3280	internationalpubls.com	https://internationalpubls.com
cana-3280	internationalpubls.com	https://internationalpubls.com
cana-3280	internationalpubls.com	https://internationalpubls.com
cana-3280	internationalpubls.com	https://internationalpubls.com
cana-3280	internationalpubls.com	https://internationalpubls.com
cana-3280	internationalpubls.com	https://internationalpubls.com
cana-3280	www.geeksforgeeks.org	https://www.geeksforgeeks.org/convolutional-neural-network-cnn-in-machine-learning
cana-3280	www.analyticsvidhya.com	https://www.analyticsvidhya.com/blog/2022/03/an-overview-of-deep-belief-network-dbn-in-deep-learning
cana-3280	sh-tsang.medium.com	https://sh-tsang.medium.com/brief-review-lrcn-long-term-recurrent-convolutionalcommunications
cana-3280	internationalpubls.com	https://internationalpubls.com
cana-3280	www.quora.com	https://www.quora.com/in-machine-learning-when-is-one-hot-encoding-better-thantarget-mean-encoding-why-would-you-ever-use-ohe-over-target-encoding
cana-3280	scikitlearn.org	https://scikitlearn.org/stable/modules/generated/sklearn.preprocessing.onehotencoder.html
cana-3280	www.crcv.ucf.edu	https://www.crcv.ucf.edu/data/ucf50.php
cana-3280	pseudo-lab.github.io	https://pseudo-lab.github.io/tutorial-book-en/chapters/en/timeseries/ch5-cnn-lstm.html
cana-3280	towardsdatascience.com	https://towardsdatascience.com/long-term-recurrent-convolutional-network-for-video-regression12138f8b4713
