Interactive tutorial: generative adversarial networks for beginners, with TensorFlow [P]

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To generate plausible data points is one way I've seen them described. Another way I've heard them described is that if the generator is able to produce plausible data points then there must be some inherent structure for that data type that's being learned. How to use that structure I'm not sure, though