A Primer on Generative Adversarial Networks by Sanaa Kaddoura Paperback Book

Description: A Primer on Generative Adversarial Networks by Sanaa Kaddoura The book then goes into the more advanced real-world applications of GANs, such as human face generation, deep fake, CycleGANs, and more.By the end of the book, readers will have an essential understanding of GANs and be able to write their own GAN code. FORMAT Paperback CONDITION Brand New Publisher Description This book is meant for readers who want to understand GANs without the need for a strong mathematical background. Moreover, it covers the practical applications of GANs, making it an excellent resource for beginners. A Primer on Generative Adversarial Networks is suitable for researchers, developers, students, and anyone who wishes to learn about GANs. It is assumed that the reader has a basic understanding of machine learning and neural networks. The book comes with ready-to-run scripts that readers can use for further research. Python is used as the primary programming language, so readers should be familiar with its basics.The book starts by providing an overview of GAN architecture, explaining the concept of generative models. It then introduces the most straightforward GAN architecture, which explains how GANs work and covers the concepts of generator and discriminator. The book then goes into the more advanced real-world applications of GANs, such as human face generation, deep fake, CycleGANs, and more.By the end of the book, readers will have an essential understanding of GANs and be able to write their own GAN code. They can apply this knowledge to their projects, regardless of whether they are beginners or experienced machine learning practitioners. Author Biography Sanaa Kaddoura is Assistant Professor of Computer Science, at Zayed University, United Arab Emirates. She is also an assistant professor of business analytics for masters degree students in the UAE. Dr. Kaddoura holds a Ph.D. in computer science from Beirut Arab University, Lebanon. Dr. Kaddoura is the award winning of "Woman Leader in ICT Excellence Award" in the "22nd Middle East Women Leaders Excellence Award". She is also the award winning of the "Young Woman Researcher in Computer Science" in the 8th Venus International Women Awards (VIWA 2023). She is a fellow of Higher Education Academy, Advance HE (FHEA) since 2019, which demonstrates a personal and institutional commitment to professionalism in learning and teaching in higher education. Furthermore, she is a certified associate from Blackboard academy since April 2021. In addition to her research interests in cybersecurity, social networks, machine learning, and natural language processing, she is an active researcherin higher education teaching and learning related to enhancing the quality of instructional delivery to facilitate students acquirement of skills and smooth transition to the workplace. Table of Contents Overview of GAN Structure.- Your First GAN.- Real World Applications.- Conclusion. Details ISBN3031326601 Author Sanaa Kaddoura Publisher Springer International Publishing AG Year 2023 Edition 1st ISBN-13 9783031326608 Format Paperback Imprint Springer International Publishing AG Place of Publication Cham Country of Publication Switzerland Series SpringerBriefs in Computer Science Pages 84 Edition Description 1st ed. 2023 DEWEY 006.31 Audience Professional & Vocational Illustrations 1 Illustrations, black and white; X, 84 p. 1 illus. Publication Date 2023-07-05 We've got this At The Nile, if you're looking for it, we've got it. With fast shipping, low prices, friendly service and well over a million items - you're bound to find what you want, at a price you'll love! TheNile_Item_ID:159678879;

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