Deep Learning, Artificial Intelligence, Convolutional Network, Generative Adversarial, Gan.
which the least squares loss function is adopted for the discriminator. First, LSGANs are able to generate higher quality images than regular GANs. Second, LSGANs perform more stable during the learning process. This is a paper in 2017 ICCV with over 2400 citations. (Sik-Ho Tsang @ Medium) Outline