Method, apparatus, and electronic device for training neural network model
US12087042B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Aug 11, 2021 |
| Grant date | Sep 10, 2024 |
| Priority date | — |
| Expiry date | Feb 25, 2043 |
Classification
- Technology area (CPC Y)Emerging Cross-Sectional Technologies
- CPC primaryY02T10/40
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
The present disclosure relates to a method for training a neural network model performed at an electronic device. The method includes: performing initial training by using a first training sample set to obtain an initial neural network model; performing a prediction on a second training sample set by using the initial neural network model to obtain a prediction result of each of training samples in the second training sample set; determining a plurality of preferred samples from the second training sample set based on the prediction results; adding the plurality of preferred samples that are annotated to the first training sample set to obtain an expanded first training sample set; updating training of the initial neural network model by using the expanded first training sample set to obtain an updated neural network model until a training ending condition is satisfied.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.