Sup-Norm Convergence of Deep Neural Network Estimator for Nonparametric Regression by Adversarial Training.
Masaaki ImaizumiPublished in: CoRR (2023)
Keyphrases
- nonparametric regression
- neural network
- training algorithm
- feedforward neural networks
- feed forward neural networks
- training process
- adaptive learning rate
- neural network training
- artificial neural networks
- multi layer perceptron
- back propagation
- learning rate
- training patterns
- least squares
- recurrent networks
- rates of convergence
- backpropagation algorithm
- neural network structure
- feed forward
- recurrent neural networks
- multi layer
- maximum likelihood
- fuzzy logic
- training set
- weight update
- alternating direction
- lyapunov theory
- wavelet neural network
- pointwise
- neural network model
- self organizing maps
- training samples
- supervised learning
- genetic algorithm
- iterative algorithms
- multilayer perceptron
- radial basis function
- training examples