Training and Inference with Integers in Deep Neural Networks.
Shuang WuGuoqi LiFeng ChenLuping ShiPublished in: ICLR (2018)
Keyphrases
- neural network
- training process
- training algorithm
- feedforward neural networks
- structured prediction
- feed forward neural networks
- neural network training
- training patterns
- pattern recognition
- back propagation
- backpropagation algorithm
- fault diagnosis
- multi layer perceptron
- deep architectures
- probabilistic inference
- recurrent neural networks
- genetic algorithm
- training set
- neural nets
- multilayer perceptron
- efficient learning
- bayesian networks
- recurrent networks
- radial basis function network
- artificial neural networks
- self organizing maps
- inference engine
- fuzzy logic
- hidden layer
- supervised learning
- dynamic bayesian networks
- training phase
- feature selection
- neural network structure
- feed forward