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A generative adversarial network is a type of machine learning model that is trained on some sets of data, like images or texts, to make them look real.
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Generative Adversarial Networks (GANs) are a type of machine learning model. GANs are used to generate images of entirely new cats using a probability distribution of the data it has.

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