Generative Adversarial Networks (GANs) are a type of deep learning algorithm that uses two neural networks to generate synthetic data, such as images, videos, and music, that are often indistinguishable from real data. As a key technology in the field of artificial intelligence, GANs have numerous applications in areas like computer vision, data augmentation, and creative content generation, making them a highly relevant and rapidly evolving topic in the tech community.
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