A Hopfield network is a form of recurrent artificial neural network invented by John Hopfield. Hopfield nets serve as content-addressable memory systems with binary threshold nodes. They are guaranteed to converge to a local minimum, but convergence to one of the stored patterns is not guaranteed. Furthermore, Hopfield networks provide a model for understanding human memory.
Read more about Hopfield Network: Structure, Running, Training, Human Memory
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