2018
Efficient Deep Convolutional Neural Networks Accelerator without Multiplication and Retraining
ICASSP 2018accepted
Recently, low-precision weight method has been considered as a promising scheme to efficiently implement inference of deep convolutional neural networks (DCNN). But it suffers from expensive retraining cost and accuracy degradation. In this paper, a low-bit and retraining-free quantization method, w…