Multimodal Deep Learning, Autoencoder, Gan, Vae.
classify the origin of the data. The training process of GANs is iterative. The networks are updated in a back-and-forth manner. During training, the generator and discriminator are competing with each other, with the generator trying to improve its fake data generation and the discriminator trying