File:Generative Adversarial Network illustration.svg
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Summary
| Description |
English: The noise vector is fed to the generator which produces a fake image which is then fed to a discriminator. The discriminator is also fed a real image from a data set (the two discriminators shown are the same neural model). The discriminator is optimised to output 0 when fed the fake image and 1 when fed the real image. In turn, the generator is optimised so that the fake image makes the discriminator output 1.
Malti: In-noise vector jiġi mgħoddi lill-generator li jipproduċi stampa fittizja li mbagħad tiġi mgħoddija lid-discriminator. Id-discriminator jiġi wkoll mgħoddi stampa ta' vera minn data set (iż-żewġ discriminators murija huma l-istess mudell newrali). Id-discriminator jiġi ottimizzat biex jgħati 0 meta jiġi mgħoddi stampa fittizja u 1 meta jiġi mgħoddi stampa ta' vera. Minn naħa l-oħra, il-ġenerator jiġi ottimizzat biex l-istampa fittizja tagħmel lid-discriminator jgħati 1. |
| Date | |
| Source | Own work |
| Author | Mtanti |
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| Date/Time | Thumbnail | Dimensions | User | Comment | |
|---|---|---|---|---|---|
| current | 17:14, 29 June 2023 | | 1,021 × 378 (4 KB) | Mtanti | Uploaded own work with UploadWizard |
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