Deep Learning, Artificial Intelligence, Convolutional Network, Generative Adversarial, Gan.
generator and the discriminator (BN_GD). With two optimizers Adam and RMSProp tested. Thus, there are 4 settings in total. These models are trained on LSUN bedroom dataset using regular GANs and LSGANs separately. First, for BNG with Adam, there is a chance for LSGANs to generate relatively good