Train a simple feedforward network and watch it learn
Chapter 20 · Neural Networks
A feedforward neural network learns by adjusting weights through backpropagation. Each layer applies a linear transformation followed by a nonlinear activation. Watch how the decision boundary evolves as the network trains on 2D classification data.