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You are here		programmathically.com Understanding The Exploding and Vanishing Gradients Problem - Programmathically
|	|	dennybritz.com Recurrent Neural Networks Tutorial, Part 3 - Backpropagation Through Time and Vanishing Gradients · Denny's Blog	0.6 parsecs away Travel
|	|	This the thirdpart of the Recurrent Neural Network Tutorial.
|	|	blog.scottlogic.com The basics of the Layered Neural Network	1.3 parsecs away Travel
|	|	Recently I've been learning about Neural Networks and how they work. In this blog post I write a simple introduction in to some of the core concepts of a basic layered neural network.
|	|	adl1995.github.io An overview of activation functions used in neural networks	1.2 parsecs away Travel
|	|	[AI summary] The article explains various activation functions used in neural networks, their properties, and applications, including binary step, tanh, ReLU, and softmax functions.
|	|	tiao.io A Tutorial on Variational Autoencoders with a Concise Keras Implementation | Louis Tiao	8.9 parsecs away Travel
|		An in-depth practical guide to variational encoders from a probabilistic perspective.

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