Adversarial Training

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Glossary

Generatywna Sieć Konkurencyjna (GAN)

Generatywna Sieć Konkurencyjna (GAN) to struktura uczenia maszynowego złożona z dwóch sieci neuronowych — generatora i dyskryminatora — które rywalizują ze sobą, aby generować dane nieodróżnialne od prawdziwych. Wprowadzona przez Iana Goodfellowa w 2014 roku, GAN-y są szeroko stosowane do generowania obrazów, augmentacji danych, wykrywania anomalii i innych zastosowań.

GAN Generative AI Machine Learning +4
• 7 min read

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