This is a very approachable introduction to Perceptrons and Multi-Layer Perceptrons with some minimal-dependency code used to illustrate the main ideas.
I wouldn't call Numpy+Tensorflow very minimal.
There are much better introductions than this as well, the whole article feels like it was written with the help of GPT
That's because it obviously was written with GPT.
> There are much better introductions than this as well
Do you have any recommendations?
Honestly, for a crash course Karpathy's Zero to Hero course for sure. He builds everything from scratch with extremely clean abstractions. It is in video form though.
Was this LLM-written?
I don't read articles that skip over the early history of artificial neurons [1][2] and instead begin at a later point in time.