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You are here		blog.otoro.net Neural Network Evolution Playground with Backprop NEAT \| ???
\|	\|	www.v7labs.com Activation Functions in Neural Networks [12 Types & Use Cases]	1.3 parsecs away Travel
\|	\|	A neural network activation function is a function that is applied to the output of a neuron. Learn about different types of activation functions and how they work.	1.3 parsecs away Travel
\|	\|	dennybritz.com Recurrent Neural Networks Tutorial, Part 3 - Backpropagation Through Time and Vanishing Gradients · Denny's Blog	0.9 parsecs away Travel
\|	\|	This the thirdpart of the Recurrent Neural Network Tutorial.	0.9 parsecs away Travel
\|	\|	vankessel.io Introduction to Neural Networks \| Kara van Kessel	1.5 parsecs away Travel
\|	\|	A blog for my thoughts. Mostly philosophy, math, and programming.	1.5 parsecs away Travel
\|	\|	programmathically.com Understanding The Exploding and Vanishing Gradients Problem - Programmathically	3.5 parsecs away Travel
\|		Sharing is caringTweetIn this post, we develop an understanding of why gradients can vanish or explode when training deep neural networks. Furthermore, we look at some strategies for avoiding exploding and vanishing gradients. The vanishing gradient problem describes a situation encountered in the training of neural networks where the gradients used to update the weights []	3.5 parsecs away Travel