Deep Learning, Artificial Intelligence, Convolutional Network, Generative Adversarial, Gan.
of the decision boundary. 1.2. LSGAN To remedy this problem, LSGAN is proposed. Suppose we use the a-b coding scheme for the discriminator, where a and b are the labels for fake data and real data, respectively. Then the objective functions for LSGANs can be defined as follows: where c denotes the