Introduction to GANs Generative Adversarial Networks (GANs) are a type of artificial intelligence model that falls under the broader category of machine learning. Invented by Ian Goodfellow and his colleagues in 2014, GANs are designed to generate new, synthetic data that closely resembles a given set of real data. The concept behind GANs is relatively … Continue reading What Are GANs? Understanding Generative Adversarial Networks