MultiComposite Nonconvex Optimization for Training Deep Neural Networks.
Ying CuiZiyu HeJong-Shi PangPublished in: SIAM J. Optim. (2020)
Keyphrases
- neural network
- optimization problems
- training process
- global optimization
- training algorithm
- feedforward neural networks
- nonlinear programming
- neural network training
- optimization algorithm
- multi layer perceptron
- neural network structure
- feed forward neural networks
- fuzzy logic
- pattern recognition
- back propagation
- optimization method
- artificial neural networks
- backpropagation algorithm
- training examples
- optimization methods
- evolutionary algorithm
- convex optimization
- recurrent networks
- training set
- recurrent neural networks
- error back propagation
- highly non linear
- globally convergent
- image restoration and reconstruction
- training phase
- constrained optimization
- optimization process
- training samples
- linear programming
- markov random field
- multi objective
- objective function