A.I. Wiki

Hopfield Networks

A Hopfield network is a form of recurrent artificial neural network popularized by John Hopfield in 1982, but described earlier by Little in 1974. Hopfield nets serve as content-addressable (“associative”) memory systems with binary threshold nodes. They are guaranteed to converge to a local minimum, but will sometimes converge to a false pattern (wrong local minimum) rather than the stored pattern (expected local minimum). Hopfield networks also provide a model for understanding human memory.

Further Reading on Hopfield Networks

Start a free consultation today

Our AI experts will chat with you and your solutions architect for a 30 min Q&A.