Generative Adversarial Networks with Industrial Use Cases (True EPUB)

[LeeAndro]

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

Description
This book aims at simplifying GAN for everyone.​

This book is very important for machine learning eeers, researchers, students, professors, and professionals. Universities and online course instructors will find this book very interesting for teaching advanced deep learning, specially Generative Adversarial Networks(GAN). Industry professionals, coders, and data scientists can learn GAN from scratch. They can learn how to build GAN codes for industrial applications for Healthcare, Retail, HRTech, EduTech, Telecom, Media, and Entertainment. Mathematics of GAN is discussed and illustrated. KL divergence and other parts of GAN are illustrated and discussed mathematically. This book teaches how to build codes for pix2pix GAN, DCGAN, CGAN, styleGAN, cycleGAN, and many other GAN. Machine Learning and Deep Learning Researchers will learn GAN in the shortest possible with the help of this book.

What will you learn
Machine Learning Researchers would be comfortable in building advanced deep learning codes for Industrial applications
Data Scientists would start solving very complex problems in deep learning
Students would be ready to join an industry with these skills
Average data eeers and scientists would be able to develop complex GAN codes to solve the toughest problems in computer vision

Who this book is for
This book is perfect for machine learning eeers, data scientists, data eeers, deep learning professionals and computer vision researchers. This book is also very useful for medical imaging professionals, autonomous vehicles professionals, retail fashion professionals, media & entertainment professional, edutech and HRtech professionals. Professors and Students working in machine learning, deep learning, computer vision and industrial applications would find this book extremely useful.



DOWNLOAD

https://1dl.net/bxhe57i0nshi/hGon6QqA_Generative_Adversarial_Networks_with_Industrial_Use_Cases__Learning_How_to_Build_GAN_Applications_for_Retail_Healthcare_Telecom_Media_Education_and_HRTech..rar.html