These variations include Info GAN, Conditional GAN, Cycle GAN, f-GAN, Wasserstein GAN and many others. Because publish-or-perish is a very real phenomenon in research, it's not entirely clear how much ...
Dr. James McCaffrey of Microsoft Research explains a generative adversarial network, a deep neural system that can be used to generate synthetic data for machine learning scenarios, such as generating ...