Parallelized Training of Restricted Boltzmann Machines using Markov-Chain Monte Carlo Methods.
Pei YangSrinivas VaradharajanLucas A. WilsonDon D. Smith IIJohn A. Lockman IIIVineet GundechaQuy TaPublished in: CoRR (2019)
Keyphrases
- restricted boltzmann machine
- contrastive divergence
- deep learning
- markov chain monte carlo methods
- deep belief networks
- learning algorithm
- probabilistic graphical models
- conditional random fields
- semi supervised
- optical flow
- training set
- transfer learning
- training data
- graphical models
- feed forward
- posterior distribution
- hidden layer
- information extraction
- neural network