Join this channel to get access to perks:
https://www.youtube.com/channel/UCS71lXSeU3CVYa6I_2KK0EA/join
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https://www.youtube.com/watch?v=ZaVwyQZXf6Y
use full website link told in the video try it have fun
https://poloclub.github.io/ganlab/
https://playground.tensorflow.org/#activation=tanh&batchSize=10&dataset=circle®Dataset=reg-plane&learningRate=0.03®ularizationRate=0&noise=0&networkShape=4,2&seed=0.81676&showTestData=false&discretize=false&percTrainData=50&x=true&y=true&xTimesY=false&xSquared=false&ySquared=false&cosX=false&sinX=false&cosY=false&sinY=false&collectStats=false&problem=classification&initZero=false&hideText=false
https://poloclub.github.io/cnn-explainer/#article-input
https://blog.acolyer.org/2019/02/25/understanding-hidden-memories-of-recurrent-neural-networks/
https://github.com/myaooo/RNNVis
https://awesomeopensource.com/project/myaooo/RNNVis?categoryPage=4
http://rnnvis.hkustvis.org/
https://datascience-enthusiast.com/DL/Building_a_Recurrent_Neural_Network-Step_by_Step_v1.html
http://www.matrixcalculus.org/
https://datascience-enthusiast.com/DL/Building_a_Recurrent_Neural_Network-Step_by_Step_v1.html
https://mottosso.com/nnadl_site/chap2.html
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https://www.youtube.com/watch?v=6XC6Bgd2SfU