Tag: GAN
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Generative adversarial networks (GAN)
GANs (Generative Adversarial Networks) are based on making two neural networks compete with each other. The first network, the generator, creates synthetic data from random noise (e.g. a sample normal distribution). The second network, the discriminator, tells whether the data given to it is real data or synthetic data. Both these networks are trained alternately,…