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</html><description>Description: Generative Adversarial Networks (GANs) are a class of machine learning frameworks where two neural networks compete against each other to generate new synthetic instances of data that can pass for real data. This approach is based on the interaction of two main components: the generator, which creates fake data, and the discriminator, which evaluates [&hellip;]</description></oembed>
