January 2018
Beginner to intermediate
284 pages
8h 35m
English
Content preview from Deep Learning Essentials
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RBM versus Boltzmann Machines
Boltzmann Machines (BMs) can be thought of as a particular form of log-linear Markov random field, for which the energy function is linear in its free parameters. To increase their representation capacity for complicated distributions, one can consider and increase the number of variables that are never observed, that is, hidden variables, or in this case, the hidden neurons. RBMs are built on top of BMs, in which the restrictions are applied to force no visible-visible and hidden-hidden connections.
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I'm always learning. So when I got on to O'Reilly, I was like a kid in a candy store. There are playlists. There are answers. There's on-demand training. It's worth its weight in gold, in terms of what it allows me to do.