In 2014, a equipment-learning architecture generally known as a generative adversarial network (GAN) was proposed by researchers with the College of Montreal. GANs use two products that do the job in tandem: 1 learns to create a goal output (like a picture) and the other learns to discriminate accurate details https://felixqfrdn.blogproducer.com/43777351/the-squarespace-maintenance-services-diaries