Value-Aware Quantization for Training and Inference of Neural Networks.
Eunhyeok ParkSungjoo YooPeter VajdaPublished in: ECCV (4) (2018)
Keyphrases
- neural network
- training process
- training algorithm
- feed forward neural networks
- feedforward neural networks
- multi layer perceptron
- structured prediction
- artificial neural networks
- training patterns
- back propagation
- neural network training
- backpropagation algorithm
- training set
- pattern recognition
- bayesian networks
- training phase
- supervised learning
- recurrent neural networks
- inference process
- training examples
- fuzzy logic
- error back propagation
- recurrent networks
- belief networks
- data sets
- semi supervised
- radial basis function network
- multilayer neural network
- feature selection
- training data
- text classification
- online learning
- color quantization
- training samples
- fuzzy systems
- fault diagnosis
- feed forward
- multilayer perceptron
- learning rules
- multi layer
- fuzzy neural network