What is a GAN?
The ability of GANs to learn high-dimensional, complex data distributions has made them very popular with researchers in recent years. Between 2016, when they were first proposed by Ian Goodfellow, to March 2022, we have more than 100,000 research papers related to GANs, just in the space of 6 years!
The applications of GANs include creating images, videos, music, and even natural languages. They have been employed in tasks like image-to-image translation, image super-resolution, drug discovery, and even next-frame prediction in video. They have been especially successful in the task of synthetic data generation – both for training the deep learning models and assessing the adversarial attacks.
The key idea of GAN can be easily understood by considering it analogous to “art forgery,” which is the process of creating works of art that are falsely credited to other usually more famous artists. GANs train two neural nets simultaneously. The...
