Suggestion and completion of deep learning models from a catalog
US11574233B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Aug 30, 2018 |
| Grant date | Feb 7, 2023 |
| Priority date | — |
| Expiry date | Jun 29, 2040 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06N3/09
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Techniques for the suggestion and completion of deep learning models are disclosed including receiving a set of data and determining at least one property of the data. A plurality of characteristics of a computing device and a plurality of deep learning models are received and a score for each of the plurality of deep learning models is determined based on the received computing device characteristics and the determined at least one property of the data. The plurality of deep learning models are ranked for presentation to a user based on the determined scores. One or more of the deep learning models are presented on a display based on the ranking. A selection of one of the deep learning models is received and the selected deep learning model is trained using the set of data.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.