Question: Explain the concept of a generative adversarial network (GAN) and its applications.Answer: A GAN consists of a generator and a discriminator trained simultaneously through adversarial training. The generator generates synthetic data, while the discriminator distinguishes between real and fake data. GANs are used for image generation, style transfer, and data augmentation. |
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