Machine Learning, Deep Learning, Neural Networks, Data Science, Towards Data Science.
with opposite goals : the goal of the generator is to fool the discriminator, so the generative neural network is trained to maximise the final classification error (between true and generated data) the goal of the discriminator is to detect fake generated data, so the discriminative neural network