Specifying Weight Priors in Bayesian Deep Neural Networks with Empirical Bayes.
Ranganath KrishnanMahesh SubedarOmesh TickooPublished in: AAAI (2020)
Keyphrases
- empirical bayes
- neural network
- belief nets
- bayesian models
- weight update
- prior distribution
- fuzzy logic
- prior probabilities
- pattern recognition
- bayesian approaches
- multi layer
- belief networks
- scoring metrics
- maximum likelihood
- bayesian inference
- weighting scheme
- machine learning
- posterior probability
- genetic algorithm
- bayesian framework
- back propagation
- neural network model
- self organizing maps
- bayesian estimation
- bayesian decision
- learned from training data
- artificial neural networks
- prior knowledge
- data driven
- multilayer perceptron
- bayesian learning
- activation function
- fuzzy neural network
- network architecture
- posterior distribution
- feed forward
- neural nets