Automated decision making for neural architecture search
US11568249B2 · kind B2 · utility
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20Claims
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Key dates
| Filing date | Apr 7, 2020 |
| Grant date | Jan 31, 2023 |
| Priority date | — |
| Expiry date | May 11, 2041 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06N20/00
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Various embodiments are provided for automating decision making for a neural architecture search by one or more processors in a computing system. One or more specifications may be automatically selected for a dataset, tasks, and one or more constraints for a neural architecture search. The neural architecture search may be performed based on the one or more specifications. A deep learning model may be suggested, predicted, and/or configured for the dataset, the tasks, and the one or more constraints based on the neural architecture search.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.