A Generative Adversarial Network (GAN) is a cutting-edge machine learning framework that consists of two neural networks working in tandem: the generator and the discriminator. The generator creates new data samples resembling a given dataset, while the discriminator evaluates their authenticity. Through this adversarial process, GANs learn to generate highly realistic images, videos, and even text. They have applications in creative industries, data augmentation, and beyond. GANs are driving innovation in fields such as art, game design, and synthetic media, while also posing exciting challenges in ethics and security. Dive into the fundamentals of GANs to understand their impact on......See More