Learn about What is a Generative Adversarial Network and its applications. A Generative Adversarial Network (GAN) is a deep learning model that generates new, highly realistic data by pitting two neural networks—the generator and discriminator—against each other. GANs are widely used for creating AI-generated images, videos, music, and even text-based content. Industries such as gaming, entertainment, and healthcare leverage GANs for creative AI applications like deepfake technology, medical image synthesis, and art generation. This blog explains how GANs work, their evolution, and their impact on AI research and real-world applications. From enhancing creativity to improving machine learning models with synthetic data, GANs are pushing the boundaries of AI capabilities. Discover the potential of generative adversarial networks and how they’re revolutionizing artificial intelligence across various domains.