Training Deep Neural Networks with Constrained Learning Parameters.
Prasanna DateChristopher D. CarothersJohn E. MitchellJames A. HendlerMalik Magdon-IsmailPublished in: CoRR (2020)
Keyphrases
- neural network
- learning algorithm
- supervised learning
- training process
- error back propagation
- learning speed
- deep architectures
- learning tasks
- learning process
- online learning
- feedforward neural networks
- neural nets
- feed forward neural networks
- knowledge acquisition
- radial basis function network
- skill acquisition
- learning stage
- learning problems
- fuzzy logic
- active learning
- training set
- genetic algorithm
- recurrent networks
- neural network model
- deep learning
- connectionist systems
- minimum error rate
- parameter values
- recurrent neural networks
- feed forward
- training samples
- maximum likelihood
- prior knowledge
- pattern recognition
- learning environment
- machine learning