Click through on any links that interest you or select the planets on the right to continue exploring the Outer Web.

---

You are here		adl1995.github.io An overview of activation functions used in neural networks
|	|	programmathically.com Understanding The Exploding and Vanishing Gradients Problem - Programmathically	1.2 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 []
|	|	www.lesswrong.com Nonlinear limitations of ReLUs - LessWrong	0.8 parsecs away Travel
|	|	A neural net using rectified linear unit activation functions of any size is unable to approximate the function sin(x) outside a compact interval. ...
|	|	michael-lewis.com A machine learning glossary for hackers · Michael I Lewis	0.7 parsecs away Travel
|	|	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.
|	|	web.navan.dev Creating a Custom Image Classifier using Tensorflow 2.x and Keras for Detecting Malaria	9.6 parsecs away Travel
|		Tutorial on creating an image classifier model using TensorFlow which detects malaria

home connect explore probe about/faq blog mcp contact updated: 2026-07-20