GAN, DCGAN, cGAN Paper Reading

GAN: Generative Adversarial Nets 1. traditional GAN 2014 1.1 Paper:  https://arxiv.org/pdf/1406.2661 1.2 Understanding: E.g. From noise to real image. Generator: G(z;θg) Input: noise z; Output: genera

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