Adaptive Precision Training: Quantify Back Propagation in Neural Networks with Fixed-point Numbers

Abstract

Adaptive Precision Training: Quantify Back Propagation in Neural Networks with Fixed-point Numbers. Recent emerged quantization technique has been applied to inference of deep neural networks for fast and efficient execution. However, directly applying quantization in training can cause significant accuracy loss, thus remaining an open challenge.

We would like to withdraw the manuscript because it lacks of comparisons. The main contribution is not well verified by experiments