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Using Fast Weights to Improve Persistent Contrastive Divergence
Published on 2009-08-267838 Views
The most commonly used learning algorithm for restricted Boltzmann machines is contrastive divergence which starts a Markov chain at a data point and runs the chain for only a few iterations to get