Bayesian Layers: A Module for Neural Network Uncertainty.
Dustin TranMichael W. DusenberryMark van der WilkDanijar HafnerPublished in: CoRR (2018)
Keyphrases
- neural network
- decision theory
- multi layer
- dempster shafer
- single layer
- artificial neural networks
- back propagation
- neural network model
- bayesian learning
- bayesian networks
- belief functions
- inherent uncertainty
- recurrent neural networks
- multilayer perceptron
- network architecture
- neural nets
- posterior probability
- feed forward
- neural network is trained
- maximum likelihood
- genetic algorithm
- bayesian decision
- learning vector quantization
- hopfield neural network
- feed forward neural networks
- probability theory
- activation function
- bayesian methods
- hidden layer
- posterior distribution
- associative memory
- radial basis function
- fault diagnosis
- data driven