Generative Adversarial Networks
GANs are a class of ML models where two networks (a generator and a discriminator) compete to improve performance. They are widely used for generating realistic images, videos, and text. Applications include deepfake creation, data augmentation, and art generation. GANs have transformed creative industries and enabled advancements in simulation technologies. Research focuses on improving their stability and scalability.
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