  Generative Adversarial Network (GAN) is a useful type of Neural Networks in
various types of applications including generative models and feature
extraction. Various types of GANs are being researched with different insights,
resulting in a diverse family of GANs with a better performance in each
generation. This review focuses on various GANs categorized by their common
traits.
