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This is a subproject of the Generative-Model repository, a review of RBM and DBN with implementation in PyTorch.

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Deep Belief Network

--- 🏗️ work in progress 🏗️ ---

Overview

Model

RBM and GRBM

Training

MLE(MCMC), CD, and PCD

  • Maximum Likelihood Estimation (MLE) using MCMC
  • Contrastive Divergence (CD)
  • Persistent Contrastive Divergence (PCD)

As a Generative Model

Conditional Generation

RBM for conditional generation on MNIST

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Generative Discriminator

RBM for generative discriminator on MNIST

Test set classification accuracy: 94.07%

References

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This is a subproject of the Generative-Model repository, a review of RBM and DBN with implementation in PyTorch.

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