Generative Adversarial Networks | Vibepedia

Generative adversarial networks (GANs) are a class of machine learning frameworks that have revolutionized the field of artificial intelligence. Developed by Ian Goodfellow and his colleagues in 2014, GANs consist of two neural networks that compete with each other to generate new data that is indistinguishable from real data. This technology has far-reaching implications for fields such as computer vision, natural language processing, and robotics.