Method and apparatus for updating deep learning model
US11640550B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Jul 3, 2018 |
| Grant date | May 2, 2023 |
| Priority date | — |
| Expiry date | Dec 27, 2041 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06F18/22
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
The disclosure discloses a method and apparatus for updating a deep learning model. An embodiment of the method comprises: executing following updating: acquiring a training dataset under a preset path, training a preset deep learning model based on the training dataset to obtain a new deep learning model; updating the preset deep learning model to the new deep learning model; increasing training iterations; determining whether a number of training iterations reaches a threshold of training iterations; stopping executing the updating if the number of training iterations reaches the threshold of training iterations; and continuing to execute the updating after an interval of a preset time length if the number of training iterations fails to reach the threshold of training iterations. This embodiment has improved the model updating efficiency.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.