Computer Vision, Gans, Generative Adversarial, Generative Mo, Deep Learning.
marked as Real (or 1) and all the generated images from the generator network are marked as Fake (or 0). Now, the task of a discriminator network is to perform binary classification. It has to classify the input as real or fake (1 or 0). The advantage of this model is that it is completely