A demo of a hopfield network, a model of autoassociative memory. The jupyter notebooks train the network on three different patterns, and illustrates recall of patterns both learned and spurious. It also generates an gif of the network settling on a pattern when given some input.
Some pieces of this are WIP, especially my implementation of the Storkey Rule. I don't guarantee the correctness of anything.