This is an introduction to the perceptron learning algorithm, a proof of its convergence, and some visualizations. Ideally, in the same vein as Nicky Case's Explorable Explanations, but I don't think it's at that level yet. Only LW-tangential, mostly just an educational post into basic ML.

2 comments, sorted by Click to highlight new comments since: Today at 1:54 PM
New Comment

Thank you very much for the perceptron and the Explorable Explanations link. I didn’t know the EE site. If you can recommend similar material, I would be very interested in it! :-)

Michael Nielsen also has some great stuff. Especially his and neural networks one.

New to LessWrong?