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.
Patent No.:
Date of Patent:
Sep. 08, 2026
Filed:
Mar. 25, 2024
Applicant:
Huawei Technologies Co., Ltd., Shenzhen, CN;
Assignee:
Huawei Technologies Co., Ltd., Shenzhen, CN;
Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06N 20/20 (2019.01); G06F 7/14 (2006.01); G06F 8/71 (2018.01); G06F 18/214 (2023.01); G06F 18/22 (2023.01); G06N 3/044 (2023.01); G06N 3/045 (2023.01); G06N 3/08 (2023.01); G06N 3/082 (2023.01); G06N 5/04 (2023.01); G06Q 40/00 (2023.01); G06V 20/58 (2022.01);
U.S. Cl.
CPC ...
G06N 3/08 (2013.01); G06F 7/14 (2013.01); G06F 8/71 (2013.01); G06F 18/214 (2023.01); G06F 18/22 (2023.01); G06N 3/044 (2023.01); G06N 3/045 (2023.01); G06N 3/082 (2013.01); G06N 5/04 (2013.01); G06Q 40/00 (2013.01); G06V 20/58 (2022.01);
Abstract
This disclosure provides methods and apparatuses for training a neural network model. One example method performed by a terminal device includes: obtaining annotation data of a service, wherein the service is to be processed by a first neural network model and a second neural network model, and wherein precision of the first neural network model is lower than precision of the second neural network model, training a second neural network model by using the annotation data of the service to obtain a trained second neural network model, and updating a first neural network model based on the trained second neural network model.