On regularization for a convolutional kernel in neural networks.
Peichang GuoQiang YePublished in: CoRR (2019)
Keyphrases
- neural network
- reproducing kernel hilbert space
- kernel ridge regression
- kernel machines
- network architecture
- kernel function
- kernel matrices
- parameter selection
- kernel methods
- fuzzy logic
- restricted boltzmann machine
- feature space
- pattern recognition
- back propagation
- reproducing kernel
- neural network model
- optimal kernel
- artificial neural networks
- feed forward
- kernel based learning methods
- support vector
- regularization parameter
- neural nets
- multilayer perceptron
- kernel matrix
- regularization term
- gaussian kernels
- polynomial kernels
- multi layer
- loss function
- sufficient conditions