A Mutual Learning Framework for Pruned and Quantized Networks
Model compression is an important topic in deep learning research.It can be skull bride and groom mainly divided into two directions: model pruning and model quantization.However, both methods will more or less affect the original accuracy of the model.In this paper, we propose a mutual learning framework for pruned and quantized networks.We regard