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 adl1995.github.io
An overview of activation functions used in neural networks
| | vankessel.io
Introduction to Neural Networks | Kara van Kessel
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| | A blog for my thoughts. Mostly philosophy, math, and programming.
| | michael-lewis.com
A machine learning glossary for hackers ยท Michael I Lewis
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| | This is a short summary of some of the terminology used in machine learning, with an emphasis on neural networks. I've put it together primarily to help my own understanding, phrasing it largely in non-mathematical terms. As such it may be of use to others who come from more of a programming than a mathematical background.
| | programmathically.com
Understanding The Exploding and Vanishing Gradients Problem - Programmathically
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| | 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 []
| | igorstechnoclub.com
Week 5 in Data Science: Image recognition neural network with 90% accuracy - a trivial task | Igor's Techno Club
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| This week I learned something that finally made "transfer learning" click. I had always heard that you can hit strong accuracy fast by reusing a pretrain...