Corpus ID: 236447574

Restricted Boltzmann Machine and Deep Belief Network: Tutorial and Survey

@article{Ghojogh2021RestrictedBM,
  title={Restricted Boltzmann Machine and Deep Belief Network: Tutorial and Survey},
  author={Benyamin Ghojogh and Ali Ghodsi and Fakhri Karray and Mark Crowley},
  journal={ArXiv},
  year={2021},
  volume={abs/2107.12521}
}
This is a tutorial and survey paper on Boltzmann Machine (BM), Restricted Boltzmann Machine (RBM), and Deep Belief Network (DBN). We start with the required background on probabilistic graphical models, Markov random field, Gibbs sampling, statistical physics, Ising model, and the Hopfield network. Then, we introduce the structures of BM and RBM. The conditional distributions of visible and hidden variables, Gibbs sampling in RBM for generating variables, training BM and RBM by maximum… Expand

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