Generative Adversarial Networks (GANs) use two competing neural networks to generate realistic synthetic data, making them essential for tasks like data augmentation, image generation, and anomaly detection. With wide-ranging applications in areas like healthcare, geoscience, and law enforcement, GANs are driving innovation across industries.
