Invention Grant
- Patent Title: Method and apparatus for quantizing artificial neural network
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Application No.: US16008275Application Date: 2018-06-14
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Publication No.: US11275986B2Publication Date: 2022-03-15
- Inventor: Do-yun Kim , Han-young Yim , In-yup Kang , Byeoung-su Kim , Nak-woo Sung , Jong-Han Lim , Sang-hyuck Ha
- 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: Sughrue Mion, PLLC
- Priority: KR10-2017-0123658 20170925
- Main IPC: G06N3/04
- IPC: G06N3/04 ; G06N3/063 ; G06N3/08

Abstract:
A method of quantizing an artificial neural network includes dividing an input distribution of the artificial neural network into a plurality of segments, generating an approximated density function by approximating each of the plurality of segments, calculating at least one quantization error corresponding to at least one step size for quantizing the artificial neural network, based on the approximated density function, and determining a final step size for quantizing the artificial neural network based on the at least one quantization error.
Public/Granted literature
- US20190095777A1 METHOD AND APPARATUS FOR QUANTIZING ARTIFICIAL NEURAL NETWORK Public/Granted day:2019-03-28
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