GAN discriminator loss mathematical notation

GAN discriminator loss is a recurring research-paper notation family. Trains an adversarial discriminator to score observed data as real and generated samples as fake.

GAN discriminator loss: Trains an adversarial discriminator to score observed data as real and generated samples as fake. Example: Penalize the discriminator for misclassifying either real or generated examples.