Pruning and quantization for deep neural network acceleration: A survey.
Tailin LiangJohn GlossnerLei WangShaobo ShiXiaotong ZhangPublished in: Neurocomputing (2021)
Keyphrases
- neural network
- artificial neural networks
- search space
- pruning method
- neural network model
- back propagation
- feed forward
- fault diagnosis
- neural network is trained
- quantization error
- training algorithm
- multi layer
- bp neural network
- network model
- deep learning
- pruning methods
- quantization noise
- genetic algorithm
- training data
- self organizing maps
- feedforward neural networks
- image reconstruction from projections
- decision trees
- motion estimation
- pruning algorithm
- unsupervised learning
- data sets
- feed forward neural networks
- fuzzy neural network
- network architecture
- radial basis function
- hidden layer
- multilayer perceptron
- associative memory
- neural nets