English | 2022 | ISBN: 9389423856 | 125 pages | True EPUB | 14.25 MB
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
DescriptionThis book aims at simplifying GAN for everyone.