Machine Learning, Deep Learning, Generative Model, Adversarial Network, Autoencoder.
tagging etc. A unified structure of both the networks has been shown in the diagram below. Fig. 7. A basic example of cGAN with y as the conditioning vector One of the cool thing about GANs is that they can be trained even with small training data. Indeed the results of GANs are promising but the