Accelerating Neural Network Inference by Overflow Aware Quantization.
Hongwei XieShuo ZhangHuanghao DingYafei SongBaitao ShaoConggang HuLing CaiMingyang LiPublished in: CoRR (2020)
Keyphrases
- neural network
- back propagation
- probabilistic inference
- neural network model
- genetic algorithm
- artificial neural networks
- pattern recognition
- self organizing maps
- bayesian networks
- inference process
- quantization error
- image reconstruction from projections
- buffer overflow
- bp neural network
- prediction model
- fuzzy logic
- multiresolution
- computational complexity
- associative memory
- neural nets
- radial basis function
- multi layer
- activation function
- feed forward neural networks
- backpropagation neural network
- fermentation process
- multiscale