Invention Publication
- Patent Title: METHOD FOR TRAINING NEURAL NETWORK MODEL AND APPARATUS
-
Application No.: US18615655Application Date: 2024-03-25
-
Publication No.: US20240232628A1Publication Date: 2024-07-11
- Inventor: Tao MA , Qing SU , Ying JIN
- Applicant: HUAWEI TECHNOLOGIES CO., LTD.
- Applicant Address: CN Shenzhen
- Assignee: HUAWEI TECHNOLOGIES CO., LTD.
- Current Assignee: HUAWEI TECHNOLOGIES CO., LTD.
- Current Assignee Address: CN Shenzhen
- Priority: CN 1711488995.0 2017.12.29
- Main IPC: G06N3/08
- IPC: G06N3/08 ; G06F7/14 ; G06F8/71 ; G06F18/214 ; G06F18/22 ; G06N3/044 ; G06N3/045 ; G06N3/082 ; G06N5/04 ; G06Q40/00 ; G06V20/58

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.
Information query