In 2014, a device-learning architecture called a generative adversarial network (GAN) was proposed by researchers with the College of Montreal. GANs use two styles that do the job in tandem: 1 learns to produce a focus on output (like a picture) and the other learns to discriminate real details within https://annek384lji9.wiki-jp.com/user