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

In this video, Andrej Karpathy builds a tiny neural network library called micrograd from scratch to explain neural networks and backpropagation step by step, showing how derivatives, the chain rule, and gradient descent train multi-layer perceptrons through a clear computational graph implementation.