Training generative adversarial networks
US11636345B2 · kind B2 · utility
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Key dates
| Filing date | Feb 21, 2020 |
| Grant date | Apr 25, 2023 |
| Priority date | — |
| Expiry date | Aug 14, 2041 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06N3/094
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Improving the training of generative adversarial networks by identifying the input and output layers in the generator network, assigning a gradient multiplier to each layer, and multiplying the gradient by the multiplier during back-propagation and before applying the product of the gradient and multiplier to node weights of the layers.
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