Optimize FPGA-Based Neural Network Accelerator with Bit-Shift Quantization.
Yu LiuXuejiao LiuLuhong LiangPublished in: ISCAS (2020)
Keyphrases
- neural network
- uniform quantization
- field programmable gate array
- successive approximation
- back propagation
- adaptive quantization
- feed forward
- neural network model
- hardware implementation
- learning vector quantization
- parallel implementation
- application specific
- neural nets
- neural network is trained
- artificial neural networks
- pattern recognition
- training algorithm
- radial basis function
- lookup table
- bit budget
- gray code
- quantization scheme
- hardware software partitioning
- quantization error
- multi layer perceptron
- training process
- embedded systems
- bp neural network
- recurrent neural networks
- fuzzy logic
- knn
- multiscale