Multi-modal construction of deep learning networks
US11734584B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Apr 19, 2017 |
| Grant date | Aug 22, 2023 |
| Priority date | — |
| Expiry date | Sep 8, 2039 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06F2111/10
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Methods, systems, and computer program products for multi-modal construction of deep learning networks are provided herein. A computer-implemented method includes extracting, from user-provided multi-modal inputs, one or more items related to generating a deep learning network; generating a deep learning network model, wherein the generating includes inferring multiple details attributed to the deep learning network model based on the one or more extracted items; creating an intermediate representation based on the deep learning network model, wherein the intermediate representation includes (i) one or more items of data pertaining to the deep learning network model and (ii) one or more design details attributed to the deep learning network model; automatically converting the intermediate representation into source code; and outputting the source code to at least one user.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.