Practical Convex Formulations of One-hidden-layer Neural Network Adversarial Training.
Yatong BaiTanmay GautamYu GaiSomayeh SojoudiPublished in: ACC (2022)
Keyphrases
- hidden layer
- neural network
- feed forward neural networks
- feedforward neural networks
- training algorithm
- single hidden layer
- back propagation
- number of hidden layers
- backpropagation algorithm
- activation function
- neural network structure
- feed forward
- output layer
- recurrent neural networks
- multilayer perceptron
- extreme learning machine
- learning rate
- artificial neural networks
- error back propagation
- radial basis function
- number of hidden neurons
- rbf neural network
- neural nets
- multi layer perceptron
- number of hidden units
- neural network model
- hidden neurons
- fuzzy neural network
- training process
- multi layer
- bp neural network
- connection weights
- latent variables
- single layer
- convergence rate
- radial basis function neural network
- fault diagnosis
- pattern recognition
- hidden nodes
- rbf network
- basis functions
- optimization algorithm
- probability distribution
- training set
- artificial intelligence
- machine learning