How do generative models like GANs (Generative Adversarial Networks) work?
Generative Adversarial Networks (GANs) are a fascinating class of machine learning models used to generate new data that resembles the training data. They were first introduced by Ian Goodfellow and his colleagues in 2014. GANs are particularly popular in the field of image generation but have applications in other areas as well. Here’s how GANs Read More