Similarity Learning is an area of supervised machine learning intently connected to regression and classification, but the purpose is to discover from illustrations using a similarity purpose that steps how equivalent or associated two objects are. 1982: Scientist John Hopfield introduces the Hopfield network, a recurrent neural network (RNN) that https://update-czt.pages.dev/