Deep Learning, Artificial Intelligence, Convolutional Network, Generative Adversarial, Gan.
value that G wants D to believe for fake data. First, the penalization will make the generator to generate samples toward the decision boundary, as shown above. Moving the generated samples toward the decision boundary leads to making them be closer to the manifold of real data. (a): The sigmoid