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You are here		bytepawn.com Bytepawn - Marton Trencseni - PyTorch Basics: Solving the Ax=b matrix equation with gradient descent
|	|	vankessel.io Introduction to Neural Networks | Kara van Kessel	1.6 parsecs away Travel
|	|	A blog for my thoughts. Mostly philosophy, math, and programming.
|	|	bdtechtalks.com A simple guide to gradient descent in machine learning - TechTalks	1.5 parsecs away Travel
|	|	Gradient descent is the main technique for training machine learning and deep learning models. Read all about it.
|	|	programmathically.com Understanding The Exploding and Vanishing Gradients Problem - Programmathically	1.5 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 []
|	|	blog.scottlogic.com The basics of the Layered Neural Network	1.6 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.

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