Method for reproducibility of deep learning classifiers using ensembles
US11574166B2 · kind B2 · utility
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Key dates
| Filing date | May 28, 2020 |
| Grant date | Feb 7, 2023 |
| Priority date | — |
| Expiry date | May 21, 2041 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06N3/044
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Example implementations described herein involve systems and methods for generating an ensemble of deep learning or neural network models, which can involve, for a training set of data, generating a plurality of model samples for the training set of data, the plurality of model samples generated from deep learning or neural network methods; and aggregating output of the model samples to generate an output of the ensemble models.
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