Preventing overfitting of hyperparameters during training of network
US11610154B1 · kind B1 · utility
14Cited by
6References
18Claims
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Key dates
| Filing date | Feb 3, 2020 |
| Grant date | Mar 21, 2023 |
| Priority date | — |
| Expiry date | Nov 12, 2040 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06N3/048
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Some embodiments provide a method for training a machine-trained (MT) network. The method uses a first set of inputs to train parameters of the MT network according to a set of hyperparameters that define aspects of the training. The method uses a second set of inputs to validate the MT network as trained by the first set of inputs. Based on the validation, the method modifies the hyperparameters for subsequent training of the MT network, wherein the hyperparameter modification is constrained to prevent overfitting of the modified hyperparameters to the second set of inputs.
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