Towards Scalable Parallel Training of Deep Neural Networks.
Sam Ade JacobsNikoli DrydenRoger A. PearceBrian Van EssenPublished in: MLHPC@SC (2017)
Keyphrases
- neural network
- training process
- training algorithm
- feedforward neural networks
- back propagation
- multi layer perceptron
- backpropagation algorithm
- feed forward neural networks
- neural network training
- parallel processing
- radial basis function network
- error back propagation
- training patterns
- highly scalable
- pattern recognition
- parallel implementation
- hidden layer
- serious games
- multi layer
- associative memory
- multilayer perceptron
- artificial neural networks
- training set
- real time
- training phase
- machine learning
- activation function
- parallel computation
- distributed memory
- fault diagnosis
- training examples
- multi processor