Computer Vision, Gans, Generative Adversarial, Generative Mo, Deep Learning.
Fake (0). Generator (G) wants to minimize the objective function such that D(G(z)) is 1. This means that the generator tries to generate images that are classified as Real (1) by the discriminator network. This is how a Generative Adversarial Network (GAN) works. Let’s now discuss the step-by-step