Neural network recogntion and training method and apparatus
US11586925B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Apr 6, 2018 |
| Grant date | Feb 21, 2023 |
| Priority date | — |
| Expiry date | Sep 19, 2041 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06V10/82
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Disclosed is a recognition and training method and apparatus. The apparatus may include a processor configured to input data to a neural network, determine corresponding to a multiclass output a mapping function of a first class and a mapping function of a second class, acquire a result of a loss function including a first probability component that changes correspondingly to a function value of the mapping function of the first class and a second probability component that changes contrastingly to a function value of the mapping function of the second class, determine a gradient of loss corresponding to the input data based on the result of the loss function, update a parameter of the neural network based on the determined gradient of loss for generating a trained neural network based on the updated parameter. The apparatus may input other data to the trained neural network, and indicate a recognition result.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.