The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.

The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.

Date of Patent:
Jun. 28, 2022

Filed:

Jul. 12, 2018
Applicant:

Samsung Electronics Co., Ltd., Suwon-si, KR;

Inventors:

Han-young Yim, Suwon-si, KR;

Do-yun Kim, Gwacheon-si, KR;

Byeoung-su Kim, Hwaseong-si, KR;

Nak-woo Sung, Yongin-si, KR;

Jong-han Lim, Seoul, KR;

Sang-hyuck Ha, Yongin-si, KR;

Assignee:
Attorney:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
G06N 3/08 (2006.01); G06N 20/00 (2019.01); G06N 3/04 (2006.01);
U.S. Cl.
CPC ...
G06N 3/0472 (2013.01); G06N 3/0454 (2013.01); G06N 3/0481 (2013.01); G06N 3/08 (2013.01); G06N 20/00 (2019.01);
Abstract

A method of generating a fixed-point type neural network by quantizing a floating-point type neural network, includes obtaining, by a device, a plurality of post-activation values by applying an activation function to a plurality of activation values that are received from a layer included in the floating-point type neural network, and deriving, by the device, a plurality of statistical characteristics for at least some of the plurality of post-activation values. The method further includes determining, by the device, a step size for the quantizing of the floating-point type neural network, based on the plurality of statistical characteristics, and determining, by the device, a final fraction length for the fixed-point type neural network, based on the step size.


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