Second-order Methods in Boltzmann Learning: an Application to Speechreading
نویسندگان
چکیده
We introduce second-order methods for training and pruning of general Boltzmann networks trained with cross-entropy error. In particular, we derive the second derivatives for the entropic cost function. We illustrate pruning on Boltzmann zippers, applied to real-world data | a speechreading (lipreading) problem.
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