Artificial Intelligence, Data Science, Gans, Deep Learning, Finance.
(GAN). This network is actually made of two subnetworks: A generator network which takes as input random noise and then creates a generated output which is fed to. A discriminator network whose role is to distinguish “fake” generated output from real examples. Through backpropagation training, the