Real-time resource usage reduction in artificial neural networks
US10268951B2 · kind B2 · utility
4Cited by
2References
16Claims
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Key dates
| Filing date | Jun 14, 2017 |
| Grant date | Apr 23, 2019 |
| Priority date | — |
| Expiry date | Jun 14, 2037 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06N3/084
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A generated algorithm used by a neural network is captured during execution of an iteration of the neural network. A candidate algorithm is identified based on the generated algorithm. A determination is made that the candidate algorithm utilizes less memory than the generated algorithm. Based on the determination the neural network is updated by replacing the generated algorithm with the candidate algorithm.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.