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Restricted Boltzmann machine - Wikipedia

2019-6-18 · A restricted Boltzmann machine (RBM) is a generative stochastic artificial neural network that can learn a probability distribution over its set of inputs. RBMs were initially invented under the name Harmonium by Paul Smolensky in 1986,[1] and rose to prominence after Geoffrey Hinton and collaborators invented fast learning algorithms for them ...

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