Convergence of Adversarial Training in Overparametrized Neural Networks.
Ruiqi GaoTianle CaiHaochuan LiCho-Jui HsiehLiwei WangJason D. LeePublished in: NeurIPS (2019)
Keyphrases
- neural network
- training algorithm
- training process
- feedforward neural networks
- back propagation
- feed forward neural networks
- multi layer perceptron
- backpropagation algorithm
- pattern recognition
- supervised learning
- weight update
- artificial neural networks
- error back propagation
- training patterns
- neural network training
- multilayer perceptron
- initial conditions
- activation function
- recurrent networks
- training phase
- data sets
- neural nets
- convergence rate
- fault diagnosis
- fuzzy logic
- multi agent
- recurrent neural networks
- neural network model
- self organizing maps
- training samples
- online learning
- reinforcement learning
- training data
- information systems
- computer vision
- artificial intelligence
- database