On Generalization Bounds of a Family of Recurrent Neural Networks.
Minshuo ChenXingguo LiTuo ZhaoPublished in: CoRR (2019)
Keyphrases
- recurrent neural networks
- generalization bounds
- data dependent
- learning theory
- generalization ability
- model selection
- feed forward
- neural network
- vc dimension
- ranking algorithm
- linear classifiers
- statistical learning theory
- learning problems
- artificial neural networks
- echo state networks
- special case
- kernel machines
- hidden layer
- support vector machine
- learning machines
- cross validation
- support vector machine svm
- real valued
- svm classifier
- fuzzy logic
- lower bound
- objective function