Deep Learning, Artificial Intelligence, Gan, Generative Adversarial, Adversarial Network.
the number of weight-sharing layers in the discriminative models. For comparison, Conditional GAN (CGAN) is implemented. With 0 input as condition into the CGAN, the generator resembles images in the 1st domain; otherwise, it generates images in the 2nd domain. For Task A, CoGAN achieved an average