Modern neural networks is just playing with matrices. So in a few words, Hopfield recurrent artificial neural network shown in Fig 1 is not an exception and is a customizable matrix of weights which is used to find the local minimum (recognize a pattern). The Hopfield model accounts for associative memory through the incorporation of memory vectors and is commonly used for pattern classification.

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