Since Generative Adversarial Networks became a mainstream idea in various fields of research in Deep Learning as well as in art, so for this semester we're planning to focus on exploration of such highly contagious technique of data synthesis. Besides the GANdrotuction into basics, we're gonna explore the limits of what can be done with GAN beyond using traditional GAN techniques in visual and audio domain. Warning: Yes, we're still gonna use Python, so it's good to have your fingers be prepared for coding.