Automatic thresholds for neural network pruning and retraining
US10832135B2 · kind B2 · utility
2Cited by
3References
20Claims
0Family size
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Key dates
| Filing date | Apr 14, 2017 |
| Grant date | Nov 10, 2020 |
| Priority date | — |
| Expiry date | Sep 12, 2039 |
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.