Machine Learning.
a goal of 0.5, where the discriminator can’t distinguish between real and generated images Note The Minimax Problem (sometimes called MinMax) is a theory that focuses on maximizing a function at the greatest loss (or vice versa). In the case of GANs, this is represented by the two models training