Deep Narrow Boltzmann Machines are Universal Approximators

14 Nov 2014Guido Montufar

We show that deep narrow Boltzmann machines are universal approximators of probability distributions on the activities of their visible units, provided they have sufficiently many hidden layers, each containing the same number of units as the visible layer. We show that, within certain parameter domains, deep Boltzmann machines can be studied as feedforward networks... (read more)

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