- Patent Title: Method and system for bit quantization of artificial neural network
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Application No.: US17254039Application Date: 2020-02-21
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Publication No.: US11263513B2Publication Date: 2022-03-01
- Inventor: Lok Won Kim
- Applicant: DEEPX CO., LTD.
- Applicant Address: KR Seongnam-si
- Assignee: DEEPX CO., LTD.
- Current Assignee: DEEPX CO., LTD.
- Current Assignee Address: KR Seongnam-si
- Agency: Fenwick & West LLP
- Priority: KR10-2019-0022047 20190225,KR10-2019-0067585 20190607
- International Application: PCT/KR2020/002559 WO 20200221
- International Announcement: WO2020/175862 WO 20200903
- Main IPC: G06N3/04
- IPC: G06N3/04 ; G06N3/063 ; G06N20/00

Abstract:
The present disclosure provides a bit quantization method of an artificial neural network. This method may include: (a) of selecting one parameter or one parameter group to be quantized in the artificial neural network; (b) a bit quantizing to reduce the data representation size for the selected parameter or parameter group to a unit of bits; (c) of determining whether the accuracy of the artificial neural network is equal to or greater than a predetermined target value; and (d) repeating steps (a) to (c) when the accuracy of the artificial neural network is equal to or greater than the target value.
Public/Granted literature
- US20210264232A1 METHOD AND SYSTEM FOR BIT QUANTIZATION OF ARTIFICIAL NEURAL NETWORK Public/Granted day:2021-08-26
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