In 2014, a machine-Studying architecture often called a generative adversarial network (GAN) was proposed by scientists with the University of Montreal. GANs use two types that get the job done in tandem: A single learns to deliver a goal output (like a picture) and another learns to discriminate correct details https://samuelp530hmr4.bloguerosa.com/profile