Generative Adversarial Networks

. (1) GAN . MNIST Generator . MNIST fully connected layer . (1) Generator Discriminator . (a) Generator . Input layer 10 Noise . Hidden Layer 256 . 28 * 28 Fake image . (b) Discriminator . Input layer 28 * 28 Fake image Real image . Hidden layer Generator 256 . Fake image 0 , Real image 1 . (c) MNIST 60000 200 10 . GAN , Generator Discriminator CNN Batch normalization . (2) DCGAN . DCGAN (1) Generator Discriminator . GAN . GAN

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