Visual programming for deep learning
US12079600B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | May 6, 2020 |
| Grant date | Sep 3, 2024 |
| Priority date | — |
| Expiry date | Dec 27, 2040 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06N3/08
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Implementations of the present disclosure relate to visual programming for deep learning. A computer-implemented method comprises presenting a visual representation of an artificial neural network, the visual representation comprising graphical elements representing layers of the artificial neural network; in response to receiving a drag-and-drop operation on the graphical elements, modifying an intermediate representation of the artificial neural network, wherein the intermediate representation is independent of a deep learning framework and the drag-and-drop operation is configured to modify connections between the graphical elements; and modifying, based on the intermediate representation of the artificial neural network, code of the artificial neural network for a target deep learning framework.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.