Convergent Block Coordinate Descent for Training Tikhonov Regularized Deep Neural Networks.
Ziming ZhangMatthew BrandPublished in: CoRR (2017)
Keyphrases
- neural network
- training process
- training algorithm
- feedforward neural networks
- pattern recognition
- multi layer perceptron
- regularization method
- deep architectures
- artificial neural networks
- back propagation
- regularization methods
- error back propagation
- feed forward neural networks
- recurrent neural networks
- neural network training
- self organizing maps
- backpropagation algorithm
- feed forward
- training set
- recurrent networks
- tikhonov regularization
- genetic algorithm
- activation function
- regularization parameter
- neural nets
- test set
- training phase
- convex optimization
- radial basis function
- fault diagnosis
- neural network structure
- objective function
- image processing
- learning algorithm
- multilayer neural network