Deep Learning, Artificial Intelligence, Convolutional Network, Generative Adversarial, Gan.
generator, this loss function will cause the problem of vanishing gradients for the samples that are on the correct side of the decision boundary, but are still far from the real data. e.g.: It gets very small errors for the fake samples (in magenta) for updating G as they are on the correct side