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What is Understanding Restricted Boltzmann Machines about?

The document discusses restricted Boltzmann machines, which are neural networks with binary visible and hidden units. Restricted Boltzmann machines have a weight matrix connecting the visible and hidden units. The joint and conditional probabilities between visible and hidden units are defined based on an energy function. Learning involves estimating statistics using contrastive divergence, which performs Gibbs sampling to get a reconstruction from the hidden units.

Author

hputluri

Language

EN