Deep regularization and direct training of the inner layers of Neural Networks with Kernel Flows.
Gene Ryan YooHouman OwhadiPublished in: CoRR (2020)
Keyphrases
- neural network
- training process
- multi layer
- training algorithm
- feedforward neural networks
- multiple layers
- reproducing kernel hilbert space
- error back propagation
- early stopping
- feed forward neural networks
- kernel ridge regression
- deep belief networks
- neural network training
- backpropagation algorithm
- single layer
- multi layer perceptron
- kernel function
- deep architectures
- restricted boltzmann machine
- recurrent neural networks
- pattern recognition
- back propagation
- training set
- genetic algorithm
- support vector
- feature space
- artificial neural networks
- recurrent networks
- radial basis function network
- feed forward
- data dependent
- polynomial kernels
- training examples
- kernel machines
- neural network structure
- neural nets