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)

Join Email List

You can subscribe to our weekly seminar email list by sending an email to majordomo@lists.berkeley.edu that contains the words subscribe redwood in the body of the message.
(Note: The subject line can be arbitrary and will be ignored)