Perceptrons Explained

post by lifelonglearner · 2020-02-14T17:34:38.999Z · LW · GW · 2 comments

This is a link post for https://owenshen24.github.io/perceptron/

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

Comments sorted by top scores.

comment by micpie · 2020-02-16T14:31:47.489Z · LW(p) · GW(p)

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! :-)

Replies from: lifelonglearner
comment by lifelonglearner · 2020-02-16T15:40:57.043Z · LW(p) · GW(p)

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