Generative Adversarial Networks and Deep Learning: Theory and Applications

This book explores how to use generative adversarial networks in a variety of applications and emphasises their substantial advancements over traditional generative models. This book's major goal is to concentrate on cutting-edge research in deep learning and generative adversarial networks, which includes creating new tools and methods for processing text, images, and audio.

A Generative Adversarial Network (GAN) is a class of machine learning framework and is the next emerging network in deep learning applications. Generative Adversarial Networks(GANs) have the feasibility to build improved models, as they can generate the sample data as per application requirements. There are various applications of GAN in science and technology, including computer vision, security, multimedia and advertisements, image generation, image translation, text-to-images synthesis, video synthesis, generating high-resolution images, drug discovery, etc.

Features:

• Presents a comprehensive guide on how to use GAN for images and videos.
• Includes case studies of Underwater Image Enhancement Using Generative Adversarial Network, Intrusion detection using GAN
• Highlights the inclusion of gaming effects using deep learning methods
• Examines the significant technological advancements in GAN and its real-world application.
• Discusses as GAN challenges and optimal solutions

The book addresses scientific aspects for a wider audience such as junior and senior engineering, undergraduate and postgraduate students, researchers, and anyone interested in the trends development and opportunities in GAN and Deep Learning.

The material in the book can serve as a reference in libraries, accreditation agencies, government agencies, and especially the academic institution of higher education intending to launch or reform their engineering curriculum

本書探討了如何在各種應用中使用生成對抗網絡（GAN），並強調它們相對於傳統生成模型的重大進展。本書的主要目標是專注於深度學習和生成對抗網絡的前沿研究，包括創建處理文本、圖像和音頻的新工具和方法。

生成對抗網絡（GAN）是一類機器學習框架，也是深度學習應用中的新興網絡。生成對抗網絡（GAN）具有構建改進模型的可行性，因為它們可以根據應用需求生成樣本數據。GAN在科學和技術中有各種應用，包括計算機視覺、安全、多媒體和廣告、圖像生成、圖像轉換、文本到圖像合成、視頻合成、生成高分辨率圖像、藥物發現等。

特點：
- 提供了使用GAN處理圖像和視頻的全面指南。
- 包括使用生成對抗網絡進行水下圖像增強和入侵檢測的案例研究。
- 強調使用深度學習方法實現遊戲效果。
- 檢視了GAN在技術上的重大進展及其在現實世界中的應用。
- 討論了GAN的挑戰和最佳解決方案。

本書針對更廣泛的受眾，如初級和高級工程師、本科和研究生學生、研究人員以及對GAN和深度學習的趨勢發展和機遇感興趣的任何人。

本書的內容可作為圖書館、認證機構、政府機構以及意圖啟動或改革其工程課程的高等教育學術機構的參考資料。

Dr Roshani Raut has obtained PhD in Computer Science and Engineering and is currently working as a Associate Professor in the department of Information Technology and Associate Dean International Relations at Pimpri Chinchwad College of Engineering, Savitribai Phule Pune University, Pune, Maharashtra, India. She has received various awards at national and International level for research, teaching and administration work. She worked an author/Editor for various upcoming books of IGI Global, CRC Taylor and Francis, and Scirvener Wiley. She worked on various conference committee as a convener, TPC member and Board member. She has availed the research and workshop grants from BCUD, Pune University. She has presented more than 70 research communications in national and international conferences and journals. She has 15 patents on her name, out of that 3 patents are granted. Her Area of research is Artificial Intelligence, Machine Learning, Data Mining, Deep Learning, Internet of Things etc. For more details: https: //roshaniraut531.wixsite.com/roshaniraut

Dr. Pranav D Pathak is an Associate professor in MIT School of Bioengineering Sciences & Research, Pune. He received his undergraduate, postgraduate degrees from Amravati University and doctoral degrees from Visvesvaraya National Institute of Technology, Nagpur, India. His research interests include use of Indian traditional knowledge in medicines, biorefinery, adsorptive separation, solid waste utilization, and wastewater treatment. He published more than 25 articles in SCI/SCIE journals and book chapters. He has attended 30 national/international conferences to his credit. Currently he is on editorial board member and reviewer on few international journals.

Dr. Sachin R Sakhare is working as a Professor in the Department of Computer Engineering of Vishwakarma Institute of Information Technology, Pune, India. He has 26 Years of experience in engineering education. He is recognised as PhD guide by Savitribai Phule Pune University and currently guiding 7 PhD scholars. He is a life member of CSI, ISTE and IAEngg. He has Published 39 research communications in national, international journals and conferences, with around 248 citations and H-index 6. He has authored 6 books. He worked as a reviewer of journals published by Elsevier, Hindawi, Inderscience, IETE. Springer. He worked as a reviewer for various conferences organised by IEEE, Springer and ACM. He has also Worked as a member of Technical and Advisory Committee for various international conferences. Dr. Sachin has Delivered invited talks at various Conferences, FDP's and STTP's as well as to PG and PhD students. He has guided 26 PG students. 2 Indian and 2 Australian patents are granted on his name. Dr. Sachin is associated with international universities also. He was invited as Guest Faculty at Amsterdam University of Applied Sciences (AUAS), Netherlands to conduct sessions on data Structures and Internet of things. He has also visited Aalborg University, Copenhagen, Denmark and RWTH Aachen university, Germany for academic collaboration. He has availed the research workshop grants from AICTE, BCUD, Pune University. He has filed and published 4 Indian patents and 06 copyrights. One Australian patent is granted on his name. He has delivered session on Outcome Based Education and NBA accreditation. He has completed the course on ABET accreditation.

Dr. Sonali Patil (IEEE Senior Member) is a prominent educationalist currently working as a Professor and Head of the Information Technology Department, Pimpri Chinchwad College of Engineering (PCCoE), Savitribai Phule Pune University (SPPU), Pune, Maharashtra, India. She has been actively engaged in academics for the last 19+ years. Her qualifications include B.E. (Computer Science and Engineering), Masters in Computer Engineering and Doctor's degree (Ph.D.) in Computer Engineering. She has published more than 70 research papers in reputed International Journals and Conferences to date in addition to holding International and National Patent Publications. She is conferred with the "IEEE Innovator / Researcher of The Year Award-2021" by IEEE Pune section and "Women Researcher Award" by Science Father Organization, India. She has delivered expert talks on multiple platforms and continues to avidly contribute her pedagogical expertise to the field of IT.

Dr. Roshani Raut獲得了計算機科學和工程的博士學位，目前在印度馬哈拉施特拉邦普內大學的Pimpri Chinchwad工程學院信息技術系擔任副教授和國際關係副院長。她在研究、教學和行政工作方面獲得了國家和國際級別的多個獎項。她曾擔任IGI Global、CRC Taylor and Francis和Scirvener Wiley等出版社的多本即將出版的書籍的作者/編輯。她曾擔任多個會議委員會的召集人、技術計劃委員會成員和董事會成員。她曾獲得普內大學BCUD的研究和研討會資助。她在國內外會議和期刊上發表了70多篇研究論文。她擁有15項專利，其中3項已獲得授權。她的研究領域包括人工智能、機器學習、數據挖掘、深度學習、物聯網等。詳情請參閱：https://roshaniraut531.wixsite.com/roshaniraut

Dr. Pranav D Pathak是普內的MIT生物工程科學與研究學院的副教授。他在印度Amravati大學獲得了學士和碩士學位，並在Visvesvaraya National Institute of Technology, Nagpur獲得了博士學位。他的研究興趣包括在藥物、生物精煉、吸附分離、固體廢物利用和廢水處理中應用印度傳統知識。他在SCI/SCIE期刊和專書章節上發表了25多篇文章。他參加了30個國內/國際會議。目前，他是幾個國際期刊的編輯委員會成員和審稿人。

Dr. Sachin R Sakhare在印度普內的Vishwakarma信息技術學院的計算機工程系擔任教授。他在工程教育方面擁有26年的經驗。他被普內大學認可為博士生導師，目前指導7名博士研究生。他是CSI、ISTE和IAEngg的終身會員。他在國內、國際期刊和會議上發表了39篇研究論文，被引用約248次，H指數為6。他撰寫了6本書。他曾擔任Elsevier、Hindawi、Inderscience、IETE和Springer等出版社的審稿人。他曾擔任IEEE、Springer和ACM等組織的各種會議的審稿人。他還曾擔任各種國際會議的技術和諮詢委員會成員。Sachin博士在各種會議、教師培訓計劃和專業發展計劃中發表了邀請演講，並指導了26名碩士研究生。他的名下有2項印度專利和2項澳大利亞專利。他還與國際大學有合作關係。他曾應邀作為客座教師前往荷蘭阿姆斯特丹應用科學大學（AUAS）進行有關數據結構和物聯網的課程。他還訪問過丹麥哥本哈根的奧爾堡大學和德國亞琛的RWTH工業大學進行學術合作。他曾獲得AICTE、BCUD和普內大學的研究和研討會資助。他申請並發表了4項印度專利和06項版權。他曾就成果導向教育和NBA認證進行過培訓。他已完成了ABET認證課程。

Dr. Sonali Patil（IEEE高級會員）是一位著名的教育家，目前在印度普內的Pimpri Chinchwad工程學院的信息技術系擔任教授和系主任。她在學術界已經從事了19年以上的工作。她的學歷包括計算機科學和工程學士學位、計算機工程碩士學位和計算機工程博士學位。她在SCI/SCIE期刊上發表了超過25篇文章。她參加了30個國內/國際會議。她目前是幾個國際期刊的編輯委員會成員和審稿人。