I made an interactive guide showing why neural networks need specific training techniques.

Start with a simple network trying to learn x². Each section introduces a problem like gradient explosion or dead neurons and shows the fix that solves it using ReLU activation, He initialization, gradient clipping, and momentum.

All code is editable and runs in the browser.