Every modern deep learning framework — PyTorch, TensorFlow, JAX — does one thing brilliantly: it computes gradients for you. Call loss.backward() and millions of parameters update simultaneously. But what's actually happening under the hood?

Backpropagation is just the chain rule applied systematically through a computational graph. By the end of...