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A Fast Learning Algorithm for Deep Belief Nets

A Fast Learning Algorithm for Deep Belief Nets

www.cs.toronto.edu

A Fast Learning Algorithm for Deep Belief Nets 1531 weights, w ij, on the directed connections from the ancestors: p(s i = 1) = 1 1 +exp −b i − j s jw ij, (2.1) where b i is the bias of unit i.If a logistic belief net has only one hidden layer, the prior distribution over the hidden variables is factorial because

  Learning, Deep, Fast, Algorithm, Belief, Fast learning algorithm for deep belief

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