Training Deep Neural Networks via Optimization Over Graphs.
Guoqiang ZhangW. Bastiaan KleijnPublished in: CoRR (2017)
Keyphrases
- neural network
- training process
- training algorithm
- feed forward neural networks
- deep architectures
- optimization algorithm
- error back propagation
- neural network structure
- backpropagation algorithm
- multi layer perceptron
- training data
- training set
- feedforward neural networks
- back propagation
- multi layer
- highly non linear
- pattern recognition
- radial basis function network
- training patterns
- test set
- fuzzy logic
- graph theoretic
- recurrent networks
- genetic algorithm
- training examples
- neural network training
- deep learning
- artificial neural networks
- training phase
- supervised learning
- optimization problems
- neural nets
- neural network model