公开(公告)号：US20200026986A1

公开(公告)日：2020-01-23

申请号：US16282748

申请日：2019-02-22

Applicant: Samsung Electronics Co., Ltd.

Inventor： SangWon HA ,  Junhaeng LEE

IPC: G06N3/04 ,  G06N3/08

Abstract: A neural network method of parameter quantization includes obtaining channel profile information for first parameter values of a floating-point type in each channel included in each of feature maps based on an input in a first dataset to a floating-point parameters pre-trained neural network; determining a probability density function (PDF) type, for each channel, appropriate for the channel profile information based on a classification network receiving the channel profile information as a dataset; determining a fixed-point representation, based on the determined PDF type, for each channel, statistically covering a distribution range of the first parameter values; and generating a fixed-point quantized neural network based on the fixed-point representation determined for each channel.