Learning Gaussian-Bernoulli RBMs using Difference of Convex Functions Optimization

11 Feb 2021 Vidyadhar Upadhya P S Sastry

The Gaussian-Bernoulli restricted Boltzmann machine (GB-RBM) is a useful generative model that captures meaningful features from the given $n$-dimensional continuous data. The difficulties associated with learning GB-RBM are reported extensively in earlier studies... (read more)

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Restricted Boltzmann Machine
Generative Models