Probabilistic Backpropagation for Scalable Learning of Bayesian Neural Networks.
José Miguel Hernández-LobatoRyan P. AdamsPublished in: ICML (2015)
Keyphrases
- back propagation
- neural network
- neural nets
- cascade correlation
- feedforward neural networks
- error back propagation
- artificial neural networks
- feed forward
- learning algorithm
- learning rules
- backpropagation neural networks
- multilayer neural network
- learning tasks
- multilayer perceptron
- multi layer
- feed forward neural networks
- hidden layer
- learning scheme
- recurrent neural networks
- backpropagation algorithm
- training algorithm
- supervised learning
- posterior probability
- weight update
- data mining
- training process
- bayesian networks
- single hidden layer
- connection weights
- bp algorithm
- competitive learning
- bp neural network
- learning rate
- activation function