Changeover from one neural network to another neural network
US10380480B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | May 31, 2016 |
| Grant date | Aug 13, 2019 |
| Priority date | — |
| Expiry date | Nov 2, 2037 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06V10/82
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
In an example embodiment, for each of one or more input documents: a first value is determined for the first metric for a first transformation of the input document by passing the first transformation to s first Deep Convolutional Neural Network (DCNN), a second transformation of the input document is determined by passing the input document to a second DCNN, the second transformation of the input document is passed to the first DCNN, obtaining a second value for the first metric for the second transformation of the input document, the first and second transformations being of the first transformation type, and a difference between the first value and the second value for the input document is determined. Then it is determined whether to change the system over from the first DCNN to the second DCNN based on the difference between the first value and the second value.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.