• Patent Title: Method and system for bit quantization of artificial neural network
  • Application No.: US17254039
    Application Date: 2020-02-21
  • Publication No.: US11263513B2
    Publication 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
Method and system for bit quantization of artificial neural network
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.
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