Deep Learning, Artificial Intelligence, Convolutional Network, Generative Adversarial, Gan.
cross entropy loss function. (b): The least squares loss function. Second, penalizing the samples lying a long way to the decision boundary can generate more gradients when updating the generator, which in turn relieves the problem of vanishing gradients. This allows LSGANs to perform more stable