better and better discriminate between actual and generated the generator is learning to create better and better images that fool the discriminate now once this is all done you keep the generator because it generates images for you and you likely throw away the discriminator it was just there for the generator to practice against will see that this flips for semi-supervised learning and semi-supervised learning we care about the discriminator and not so much the generator we typically throw the generator away this is how you would