Artificial Neural Networks

This animation visually explains how artificial neural networks work by showing how individual neurons process information, why stacking simple layers alone fails, and how adding non-linear "squashing" functions allows the network to solve complex problems like the XOR puzzle. It also illustrates the learning process as a cycle of assigning blame for errors and making small adjustments to improve performance.