bBest Book on GAN bbrbr bKey FeaturesbliUnderstanding the deep learning landscape and GAN's relevance lili Learning basics of GANliliLearning how to build GAN from scratch lili Understanding mathematics and limitations of GANlili Understanding GAN applications for Retail, Healthcare, Telecom, Media and EduTechliliUnderstanding the important GAN papers such as pix2pixGAN, styleGAN, cycleGAN, DCGAN liliLearning how to build GAN code for industrial applications liliUnderstanding the difference between varieties of GAN librbDescriptionbbr This book aims at simplifying GAN for everyone. This book is very important for machine learning engineers, researchers, students, professors, and professionals. Universities and online course instructors will find this book very interesting for teaching advanced deep learning, specially Generative Adversarial NetworksGAN. Industry professionals, coders, and data scientists can learn GAN from scratch. They can learn how to build GAN codes for industrial a