Traditional AI education is broken for programmers. It starts with matrices, derivatives, and linear algebra. Most coders learn by doing: they clone a repo, run a script, break it, fix it, and then look up the theory.

: Learning to recognize items (like clothing in the Fashion MNIST dataset) by designing simple neural networks.