2016
Fixed Point Quantization of Deep Convolutional Networks
ICML 2016poster
In recent years increasingly complex architectures for deep convolution networks (DCNs) have been proposed to boost the performance on image recognition tasks. However, the gains in performance have come at a cost of substantial increase in computation and model storage resources. Fixed point implem…