Training Restricted Boltzmann Machines with Binary Synapses using the Bayesian Learning Rule.
Xiangming MengPublished in: CoRR (2020)
Keyphrases
- restricted boltzmann machine
- learning rules
- spiking neural networks
- contrastive divergence
- output layer
- hidden layer
- learning algorithm
- deep learning
- biologically inspired
- neural network
- back propagation
- artificial neural networks
- training algorithm
- deep belief networks
- feed forward
- optical flow
- probabilistic graphical models
- conditional random fields
- semi supervised
- learning scheme
- transfer learning
- recurrent neural networks
- loopy belief propagation
- multiscale
- machine learning
- bayesian networks
- high dimensional
- training set
- data mining
- artificial intelligence
- motor control
- learning rate
- text classification
- bayesian inference
- latent variables