The spelled-out intro to neural networks and backpropagation: building micrograd

FROM THE SOURCE CARD / AI-WRITTEN

What this video covers

Andrej Karpathy's first Neural Networks: Zero to Hero lecture, which builds micrograd, a tiny autograd engine, from scratch in Python. It explains backpropagation and neural network training step by step, assuming only basic Python and some high-school calculus.

How the source describes its HN context

HN treats it as the best starting point for really understanding backprop and neural nets, because Karpathy explains the why with intuition and builds everything in code.

These descriptions and labels come from the original dataset’s AI-assisted curation. They are not our personal review. Check the video and the linked discussion for context.