"A GAN stands for Generative Adversarial Network and is a machine learning technique for generation of content. It works by using two systems, one which tries to make convincing output by learning from a dataset and another which judges if the output is real or not. The generator keeps adapting to try to fool the tester and eventually it makes output that is fairly convincing."
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How would you describe GANs for dummies?
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Alexander Reben
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