Invention Grant
- Patent Title: Method and apparatus for generating fixed-point quantized neural network
-
Application No.: US16051788Application Date: 2018-08-01
-
Publication No.: US11588496B2Publication Date: 2023-02-21
- Inventor: Junhaeng Lee , Seungwon Lee , Sangwon Ha , Wonjo Lee
- Applicant: Samsung Electronics Co., Ltd.
- Applicant Address: KR Suwon-si
- Assignee: Samsung Electronics Co., Ltd.
- Current Assignee: Samsung Electronics Co., Ltd.
- Current Assignee Address: KR Suwon-si
- Agency: NSIP Law
- Priority: KR10-2017-0098999 20170804
- Main IPC: H03M7/24
- IPC: H03M7/24 ; G06N3/063 ; G06F7/483 ; G06F7/499 ; G06F7/544 ; G06N3/08 ; G06N3/084

Abstract:
A method of generating a fixed-point quantized neural network includes analyzing a statistical distribution for each channel of floating-point parameter values of feature maps and a kernel for each channel from data of a pre-trained floating-point neural network, determining a fixed-point expression of each of the parameters for each channel statistically covering a distribution range of the floating-point parameter values based on the statistical distribution for each channel, determining fractional lengths of a bias and a weight for each channel among the parameters of the fixed-point expression for each channel based on a result of performing a convolution operation, and generating a fixed-point quantized neural network in which the bias and the weight for each channel have the determined fractional lengths.
Public/Granted literature
- US20190042948A1 METHOD AND APPARATUS FOR GENERATING FIXED-POINT QUANTIZED NEURAL NETWORK Public/Granted day:2019-02-07
Information query
IPC分类: