The Generative Adversarial Networks (GANs) certification revolves around an innovative class of artificial intelligence algorithms used in machine learning, designed by Ian Goodfellow and his colleagues in 2014. Often used in the creation of realistic images, videos, sound, and text, GANs consist of two parts: a generative model that creates new data instances and a discriminative model that differentiates the real examples from the generated ones. These two parts work in a competitive setting, constantly improving one another. Industries employ GANs in various areas such as e-commerce, entertainment, and autonomous vehicles, where realistic yet artificial data benefits innovation, troubleshooting, and progress.
