Hopfield Network: An Overview | LearnC++
A Hopfield network is a recurrent neural network used for associative memory and optimization problems. Introduced by John Hopfield in 1982, it is a simplified model inspired by the human brain's ability to store and recall patterns. Key features include symmetric connections, binary states, an energy function, and Hebbian learning for training. For more information, visit the Learn CPlusPlus.
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