Neurons & Layers

A single neuron computes a weighted sum, then squashes it through a non-linear activation function. Alone, it can only draw straight-line boundaries.

The magic is stacking: layers of neurons feeding into layers of neurons. Each layer learns features of features — edges → shapes → objects.