A tutorial on stochastic approximation algorithms for training Restricted Boltzmann Machines and Deep Belief Nets.
Kevin SwerskyBo ChenBenjamin M. MarlinNando de FreitasPublished in: ITA (2010)
Keyphrases
- approximation algorithms
- belief nets
- restricted boltzmann machine
- deep learning
- deep belief networks
- np hard
- special case
- belief networks
- worst case
- learning algorithm
- probabilistic graphical models
- conditional random fields
- conditional probabilities
- exact inference
- semi supervised
- supervised learning
- higher order
- graphical models
- upper bound
- causal models
- support vector machine
- lower bound
- graphical structure
- training data
- machine learning