AutoQNN: An End-to-End Framework for Automatically Quantizing Neural Networks

Cheng Gong, Ye Lu, Surong Dai +3

Exploring the expected quantizing scheme with suitable mixed-precision policy is the key point to compress deep neural networks (DNNs) in high efficiency and accuracy. This explora…