Dataflow-Based Joint Quantization for Deep Neural Networks.
Xue GengJie FuBin ZhaoJie LinMohamed M. Sabry AlyChristopher J. PalVijay ChandrasekharPublished in: DCC (2019)
Keyphrases
- network architecture
- neural network
- neural network model
- activation function
- pattern recognition
- database machine
- artificial neural networks
- image compression
- back propagation
- data flow
- parallel computing
- quantization error
- neural nets
- dynamic reconfiguration
- deep learning
- multilayer perceptron
- computational complexity
- genetic algorithm