Neural Networks From Scratch: Layer by Layer
A neural network is a chain of functions. Each layer takes a tensor in, does one simple mathematical operation, and passes a tensor out. There’s no magic in it. It’s linear algebra, a nonlinearity, and calculus, repeated. Here’s the chain in the order data actually flows through it: forward pass first, then how it learns. Every equation gets paired with its exact PyTorch equivalent, so you can see where the math actually lives in code. ...