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.

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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 quantum.country and neural networks one.

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