In 2014, a machine-learning architecture known as a generative adversarial community (GAN) was proposed by scientists with the College of Montreal. GANs use two models that operate in tandem: One learns to crank out a target output (like a picture) and one other learns to discriminate true information through the https://cicils517tsp1.blogdun.com/profile