Machine Learning, Deep Learning, Neural Networks, Data Science, Towards Data Science.
to discriminate them, building a classifier. The goal of the generator is to fool the discriminator (increase the classification error by mixing up as much as possible generated data with true data) and the goal of the discriminator is to distinguish between true and generated data. These opposite