Automatic thresholds for neural network pruning and retraining
US12008474B2 · kind B2 · utility
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5References
20Claims
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Key dates
| Filing date | Sep 9, 2020 |
| Grant date | Jun 11, 2024 |
| Priority date | — |
| Expiry date | May 18, 2041 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06N3/09
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
An embodiment includes a method, comprising: pruning a layer of a neural network having multiple layers using a threshold; and repeating the pruning of the layer of the neural network using a different threshold until a pruning error of the pruned layer reaches a pruning error allowance.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.