Computer Vision, Deep Learning, Generative Adversarial, Generator, Gans.
in the case of DCGAN) and is a type of unsupervised machine learning. The discriminator network classifies an image as real or fake and is a type of supervised learning as the labels (real/fake) are used to train the models. Now moving to the working of GAN, during training GAN takes in two inputs,