Unsupervised prototype learning in an associative-memory network

10 Apr 2017 Hui-Ling Zhen Shang-Nan Wang Hai-Jun Zhou

Unsupervised learning in a generalized Hopfield associative-memory network is investigated in this work. First, we prove that the (generalized) Hopfield model is equivalent to a semi-restricted Boltzmann machine with a layer of visible neurons and another layer of hidden binary neurons, so it could serve as the building block for a multilayered deep-learning system... (read more)

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