Machine Learning, Deep Learning, Neural Networks, Data Science, Towards Data Science.
expected absolute error of the discriminator can then be expressed as The goal of the generator is to fool the discriminator whose goal is to be able to distinguish between true and generated data. So, when training the generator, we want to maximise this error while we try to minimise it for the