The Math Behind Neural Networks — Explained Like Nobody Did for Me 🧨

How does a neural network actually learn to be less wrong? Not the hand-wavy version. The real one. The one with the derivative, the chain rule, and the loss surface that nobody draws for you when you start. I got tired of tutorials that skip steps, so I wrote the series I wish I had when I began. No formula without explanation. No "as you can see." No magic. It is now live on GoPenAI — and I am sharing it here on dev.to for the first time. Part 1 — Where the math actually begins Slope → lin...