File:Generative Adversarial Network illustration.svg
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![File:Generative Adversarial Network illustration.svg](https://upload.wikimedia.org/wikipedia/commons/thumb/8/8b/Generative_Adversarial_Network_illustration.svg/800px-Generative_Adversarial_Network_illustration.svg.png?20230629171436)
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An illustration of how a GAN works.
Illustrazzjoni ta' kif taħdem GAN.
Summary
[edit]DescriptionGenerative Adversarial Network illustration.svg |
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. |
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Source | Own work |
Author | Mtanti |
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current | 17:14, 29 June 2023 | ![]() | 1,021 × 378 (4 KB) | Mtanti (talk | contribs) | Uploaded own work with UploadWizard |
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