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GANs use an elegant adversarial learning framework to generate high quality samples of everything from images to audio. Here, we explore the theoretical underpinnings, as well as some practical problems that can plague training, such as non-convergence and mode collapse. Timestamps -------------------- 00:00 Introduction 01:28 Generative ...
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