Practical Quasi-Newton Methods for Training Deep Neural Networks.
Donald GoldfarbYi RenAchraf BahamouPublished in: CoRR (2020)
Keyphrases
- neural network
- training process
- training algorithm
- feedforward neural networks
- feed forward neural networks
- multi layer perceptron
- backpropagation algorithm
- back propagation
- pattern recognition
- training patterns
- artificial neural networks
- real world
- practical application
- neural network training
- feed forward
- neural network model
- error back propagation
- deep architectures
- recurrent networks
- radial basis function network
- training set
- fuzzy logic
- training phase
- activation function
- learning rules
- expert systems
- support vector
- supervised learning
- deep learning
- computer software
- computer vision
- rough sets
- artificial intelligence
- machine learning
- training examples
- self organizing maps