Uniform Convergence of Deep Neural Networks with Lipschitz Continuous Activation Functions and Variable Widths.
Yuesheng XuHaizhang ZhangPublished in: CoRR (2023)
Keyphrases
- activation function
- uniform convergence
- learning rate
- neural network
- hidden layer
- artificial neural networks
- convergence rate
- sufficient conditions
- back propagation
- learning algorithm
- feed forward
- generalization error
- neural nets
- pattern recognition
- convergence speed
- multilayer perceptron
- risk minimization
- real valued
- radial basis function
- reproducing kernel hilbert space
- fault diagnosis
- feature extraction
- basis functions
- fuzzy neural network
- machine learning
- vc dimension
- data sets