Training Deep Neural Networks via Optimization Over Graphs.
Guoqiang ZhangW. Bastiaan KleijnPublished in: ICASSP (2018)
Keyphrases
- neural network
- training process
- training algorithm
- back propagation
- feedforward neural networks
- feed forward neural networks
- training set
- backpropagation algorithm
- pattern recognition
- multi layer perceptron
- optimization process
- global optimization
- optimization algorithm
- artificial neural networks
- optimization method
- recurrent networks
- training patterns
- graph theory
- optimization problems
- multilayer perceptron
- recurrent neural networks
- highly non linear
- neural network model
- graph matching
- neural network training
- neural network structure
- random graphs
- deep architectures
- training phase
- constrained optimization
- fuzzy systems
- weighted graph
- bipartite graph
- neural nets
- training samples
- particle swarm optimization
- simulated annealing
- supervised learning
- fuzzy logic