Learning device, learning method, and computer program product
US11526690B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Aug 28, 2019 |
| Grant date | Dec 13, 2022 |
| Priority date | — |
| Expiry date | Oct 13, 2041 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06V10/82
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A learning device includes one or more processors. The processors generate a plurality of pieces of learning data to be used in a plurality of learning processes, respectively, to learn a parameter of a neural network using an objective function. The processors calculate a first partial gradient using a partial data and the parameter added with noise, with respect to at least a part of the learning data out of the plurality of pieces of learning data. The partial data is obtained by dividing the learning data. The first partial gradient is a gradient of the objective function relating to the parameter for the partial data. The noise is calculated based on a second partial gradient calculated for another piece of the learning data. The processors update the parameter using the first partial gradient.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.