GANs: A Generator and a Critic
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In this lesson
In 2014 Ian Goodfellow and colleagues had a striking idea: train two networks against each other. One, the generator, tries to create fake data that looks real. The other, the discriminator, tries to tell fakes from real data. As each improves, the other must improve too, until the fakes are hard to tell apart from the real thing.
🎬 The forger and the detective
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