Method for training neural network model and apparatus
US11966844B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Nov 4, 2022 |
| Grant date | Apr 23, 2024 |
| Priority date | — |
| Expiry date | Nov 4, 2042 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06V20/58
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
This application provides a method for training a neural network model and an apparatus. The method includes: obtaining annotation data that is of a service and that is generated by a terminal device in a specified period; training a second neural network model by using the annotation data that is of the service and that is generated in the specified period, to obtain a trained second neural network model; and updating a first neural network model based on the trained second neural network model. In the method, training is performed based on the annotation data generated by the terminal device, so that in an updated first neural network model compared with a universal model, an inference result has a higher confidence level, and a personalized requirement of a user can be better met.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.