Learning algorithms for probabilistic neural nets.
Catherine MyersIgor AleksanderPublished in: Neural Networks (1988)
Keyphrases
- neural nets
- back propagation
- learning algorithm
- learning tasks
- feed forward
- deep architectures
- neural network
- multi layer
- artificial neural networks
- backpropagation neural networks
- machine learning algorithms
- counter propagation
- machine learning
- bayesian networks
- training examples
- learning problems
- probabilistic model
- single layer
- active learning
- learning rate
- training data
- training samples
- learning experience
- higher order
- genetic algorithm