better and better at their job over time eventually the generator is forced to create data that is as realistic as possible the data that comes to the same distribution as the training data the way that the training process works is that first we sample some image from the training data set like the face that we show on the Left we call this image X it's just the name of the input to the model and then the first player is this discriminator network which you represent with a capital D the discriminator network is a