In 2014, a machine-learning architecture known as a generative adversarial network (GAN) was proposed by researchers in the University of Montreal. GANs use two products that operate in tandem: Just one learns to deliver a concentrate on output (like a picture) and the other learns to discriminate true details within https://keeganlmmkh.qodsblog.com/35816496/ym-paw-the-ultimate-guide-to-corporate-promotional-video-batch-production