Machine Learning, NLP, Deep Learning, Artificial Intelligence, AI.
being shown not only the “fake” samples generated by the generator, but also “real” samples drawn from a real-life distribution. This way it learns what generated samples look like and what real samples look like, thus enabling it to give better feedback to the generator. This is essentially a