Generative Adversarial Networks with Industrial Use Cases

Best Book on GAN Key Features Understanding the deep learning landscape and GAN’s relevance Learning basics of GAN Learning how to build GAN from scratch Understanding mathematics and limitations of GAN Understanding GAN applications for Retail, Healthcare, Telecom, Media and EduTech Understanding the important GAN papers such as pix2pixGAN, styleGAN, cycleGAN, DCGAN Learning how to build GAN code for industrial applications Understanding the difference between varieties of GAN This book aims at