/DeepBoltzmannRN

Deep Boltzmann Machines in R^N dimensions

Primary LanguagePython

DeepBoltzmannRN

Deep Boltzmann Machines in R^N dimensions

Readings

  1. Restricted Boltzmann Machines http://www.deeplearning.net/tutorial/rbm.html
  2. Training DBMs using CD http://machinelearning.wustl.edu/mlpapers/paper_files/AISTATS09_SalakhutdinovH.pdf
  3. "Efficient" Training DBMs http://machinelearning.wustl.edu/mlpapers/paper_files/AISTATS2010_SalakhutdinovL10.pdf
  4. Training DBNs http://www.mitpressjournals.org/doi/abs/10.1162/neco.2006.18.7.1527#.UzsF8PhLt-g
  5. Minimum Probability Flow http://journals.aps.org/prl/abstract/10.1103/PhysRevLett.107.220601

Training Ideas

  • Pretrain model as described in 2 using stacked RBMs (with MPF?)
  • Train model using methods described in 2 or 3.
  • Train models using MPF -- how to deal with latent variables?