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247 - Conditional GANs and their applications
Conditional Generative Adversarial Network cGAN A GAN model generates a random image from the domain. The relationship between points in the latent space and the generated images is hard to map. A GAN can be trained so that both the generator and the discriminator models are conditioned on the class label (or other modalities). As a result, the ...
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