Training Neural Networks Without Gradients: A Scalable ADMM Approach.
Gavin TaylorRyan BurmeisterZheng XuBharat SinghAnkit B. PatelTom GoldsteinPublished in: ICML (2016)
Keyphrases
- total variation
- neural network
- training process
- convex optimization
- training algorithm
- feedforward neural networks
- pattern recognition
- artificial neural networks
- feed forward neural networks
- back propagation
- neural network training
- backpropagation algorithm
- multi layer perceptron
- online learning
- feed forward
- multilayer neural network
- training set
- training data
- recurrent neural networks
- fuzzy logic
- recurrent networks
- error back propagation
- genetic algorithm
- neural network model
- test set
- training samples
- supervised learning
- image gradient
- support vector machine
- radial basis function network
- training patterns