公开(公告)号：US20240143977A1

公开(公告)日：2024-05-02

申请号：US18496177

申请日：2023-10-27

Applicant: HUAWEI TECHNOLOGIES CO., LTD.

Inventor： Zhiyuan ZHANG ,  Xuancheng REN ,  Xu SUN ,  Bin HE ,  Li QIAN

IPC: G06N3/045 ,  G06N3/084

CPC classification number: G06N3/045 ,  G06N3/084

Abstract: This application discloses a model training method, which may be applied to the field of artificial intelligence. The method includes: when training a first neural network model based on a training sample, determining N parameters from M parameters of the first neural network model based on a capability of affecting data processing precision by each parameter; and updating the N parameters. In this application, on a premise that it is ensured that the data processing precision of the model meets a precision requirement, because only N parameters in M parameters in an updated first neural network model are updated, an amount of data transmitted from a training device to a terminal device can be reduced.