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:
Dec. 30, 2025

Filed:

Nov. 23, 2022
Applicant:

Huawei Technologies Co., Ltd., Guangdong, CN;

Inventors:

Zidong Wang, Hangzhou, CN;

Mengyun Chen, Hangzhou, CN;

Fan Yu, Hangzhou, CN;

Lei Chen, Shenzhen, CN;

Assignee:
Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06N 3/04 (2023.01); G06F 17/16 (2006.01); G06F 18/214 (2023.01); G06N 3/045 (2023.01); G06N 3/0464 (2023.01); G06N 3/08 (2023.01); G06N 3/082 (2023.01); G06N 3/0985 (2023.01); G06V 10/44 (2022.01); G06V 10/774 (2022.01); G06V 10/82 (2022.01); G06V 20/58 (2022.01);
U.S. Cl.
CPC ...
G06N 3/04 (2013.01); G06F 17/16 (2013.01); G06F 18/214 (2023.01); G06N 3/045 (2023.01); G06N 3/0464 (2023.01); G06N 3/082 (2013.01); G06V 10/774 (2022.01); G06V 10/82 (2022.01); G06V 20/58 (2022.01); G06N 3/08 (2013.01); G06N 3/0985 (2023.01); G06V 10/454 (2022.01);
Abstract

The present disclosure relates to parameter updating methods. In one example method, a parameter in a neural network model is updated for a plurality of times through a plurality of iterations. The plurality of iterations include a first iteration period and a second iteration period. In the first iteration period, an inverse matrix of an additional matrix of the neural network model is updated once based on a quantity of iterations indicated by a first update stride. In the second iteration period, the inverse matrix of the additional matrix of the neural network model is updated once based on a quantity of iterations indicated by a second update stride, where the first iteration of the second iteration period is after the last iteration of the first iteration period in an iteration sequence, and the second update stride is greater than the first update stride.


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