What is Generative Adversarial Networks
Generative Adversarial Networks (GANs) are a type of machine learning model consisting of two neural networks: a generator and a discriminator. The generator creates data samples, while the discriminator evaluates them against real data. They compete, with the generator improving its creations and the discriminator refining its evaluation. This dynamic helps GANs generate highly realistic images, videos, and other content.
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