Interactive Demo Shows How Neural Networks Learn

A developer built an interactive demo that lets users adjust the architecture and target function of a fully-connected ReLU network to visualize learning. A single hidden layer can produce at most 1 plus its width in segments, and each added layer multiplies that count, though trained networks rarely reach the maximum.