Computer Vision, Gans, Generative Adversarial, Generative Mo, Deep Learning.
generator network and real images from the training set (label = 1) and feed these pairs to the Discriminator (D) network which classifies them: As you must have observed, the discriminator is a binary classifier. It calculates the loss (can be binary cross-entropy) We then backpropagate this loss