Generative Adversarial Networks
Generative Adversarial Networks (GANs) are a type of machine learning model where two neural networks, the generator and the discriminator, compete against each other. The generator creates fake data, while the discriminator evaluates whether the data is real or generated. This adversarial process improves both models, enabling Generative Adversarial Networks to produce realistic images, videos, and other data, making them essential in AI advancements like image synthesis. For more information visit at:
https://www.debutinfotech.com/....blog/what-is-generat
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