Types of Generative Adversarial Networks (GANs)

In this article, we cover the types of GAN's. A Generative Adversarial Network is a machine learning algorithm that is capable of generating new training datasets. To explain it briefly , the GANs are made up of two internal submodels namely the generator and the discriminator. The generator creates fake samples using random noise and the discriminator on the other hand diffrentiates between the fake and real samples, after multiple sample are diffrentiated the generator also refers the feedback...