Learn about What is a Generative Adversarial Networks and their role in AI innovation. Generative Adversarial Networks (GANs) are a groundbreaking AI architecture that has redefined machine learning capabilities. A GAN consists of two neural networks: a generator that creates data and a discriminator that evaluates it. These networks work together in a competitive process, enabling the creation of highly realistic images, videos, and other data types. GANs are widely used in industries such as media, healthcare, and gaming, generating synthetic data for training, content creation, and more. Understanding GANs opens the door to leveraging their potential in tasks like image enhancement, deepfake creation, and advanced simulations. Discover the immense possibilities GANs offer for innovation across domains.