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Using Fast Weights to Improve Persistent Contrastive Divergence

Published on Aug 26, 20097825 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

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