Machine Learning, Deep Learning, Generative Model, Adversarial Network, Autoencoder.
objective function of the GAN is defined as In the above equation, if the input to the Discriminator comes from true data distribution then D(x) should output 1 to maximize the above objective function w.r.t D whereas if the image has been generated from the Generator then D(G(z)) should output 1