Passive pruning of filters in a convolutional neural network
US10832136B2 · kind B2 · utility
3Cited by
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15Claims
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Key dates
| Filing date | May 9, 2017 |
| Grant date | Nov 10, 2020 |
| Priority date | — |
| Expiry date | Jul 9, 2039 |
Classification
- Technology area (CPC H)Electricity
- CPC primaryH03H2222/04
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Methods and systems for pruning a convolutional neural network (CNN) include calculating a sum of weights for each filter in a layer of the CNN. The filters in the layer are sorted by respective sums of weights. A set of m filters with the smallest sums of weights is filtered to decrease a computational cost of operating the CNN. The pruned CNN is retrained to repair accuracy loss that results from pruning the filters.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.