Interactive visualizations exploring how Hopfield Networks store and retrieve patterns. Built as a learning exercise in neural network fundamentals.
Introduction to Hopfield Networks: how patterns are stored as energy minima and retrieved through synchronous updates.
Extended visualizations exploring capacity limits, spurious states, and asynchronous update dynamics.