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Joint Training of Deep Boltzmann Machines

12 December 2012
Ian Goodfellow
Aaron Courville
Yoshua Bengio
    FedML
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Abstract

We introduce a new method for training deep Boltzmann machines jointly. Prior methods require an initial learning pass that trains the deep Boltzmann machine greedily, one layer at a time, or do not perform well on classifi- cation tasks.

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