All neural networks use activation functions, but the reasons behind using them are never clear! Let's discuss what activation functions are, when they should be used, and what the difference between them is.
Sample code from this video:
https://github.com/llSourcell/Which-Activation-Function-Should-I-Use
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More Learning resources:
http://www.kdnuggets.com/2016/08/role-activation-function-neural-network.html
http://cs231n.github.io/neural-networks-1/
https://www.quora.com/What-is-the-role-of-the-activation-function-in-a-neural-network
https://stats.stackexchange.com/questions/115258/comprehensive-list-of-activation-functions-in-neural-networks-with-pros-cons
https://en.wikibooks.org/wiki/Artificial_Neural_Networks/Activation_Functions
https://stackoverflow.com/questions/9782071/why-must-a-nonlinear-activation-function-be-used-in-a-backpropagation-neural-net
https://papers.nips.cc/paper/874-how-to-choose-an-activation-function.pdf
http://neuralnetworksanddeeplearning.com/chap4.html
https://medium.com/towards-data-science/activation-functions-in-neural-networks-58115cda9c96
https://medium.com/autonomous-agents/mathematical-foundation-for-activation-functions-in-artificial-neural-networks-a51c9dd7c089
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