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Ian Goodfellow
University of Montreal

Joint Training Deep Boltzmann Machines for Classification

Wednesday 12th of December 2012 at 12:00pm
560 Evans

The traditional deep Boltzmann machine training algorithm requires a greedy layerwise pretraining phase. Existing techniques for avoiding greedy pretraining do not perform as well for classification as the layerwise method. I show that 2nd order methods applied to a deterministic training criterion can obtain better classification performance than the existing joint training methods.
(video)


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