Understanding Generative Adversarial Networks (gan) In Machine Learning

Applications of GANs

GANs have found widespread use in various industries, including image generation, text-to-image translation, and video generation. They have also been used in data augmentation, where they can generate new data to supplement existing datasets, improving the performance of machine learning models. GANs have also been applied in fields such as healthcare, finance, and gaming, showcasing their versatility and potential for innovation.