Langevin Dynamics with Continuous Tempering for Training Deep Neural Networks.
Nanyang YeZhanxing ZhuRafal MantiukPublished in: NIPS (2017)
Keyphrases
- restricted boltzmann machine
- neural network
- recurrent networks
- bayesian inference
- deep learning
- recurrent neural networks
- neural network model
- markov chain monte carlo
- artificial neural networks
- feed forward
- genetic algorithm
- back propagation
- conditional random fields
- probabilistic graphical models
- training set
- unsupervised learning
- supervised learning
- fuzzy logic
- probability distribution
- reinforcement learning