Generative Adversarial Networks and Deep Learning: Theory and Applications
暫譯: 生成對抗網絡與深度學習：理論與應用

Raut, Roshani, D. Pathak, Pranav, R. Sakhare, Sachin

Generative Adversarial Networks and Deep Learning: Theory and Applications
  • 出版商: CRC
  • 出版日期: 2023-04-10
  • 售價: $6,190
  • 貴賓價: 9.5 折 $5,881
  • 語言: 英文
  • 頁數: 208
  • 裝訂: Hardcover - also called cloth, retail trade, or trade
  • ISBN: 1032068108
  • ISBN-13: 9781032068107
  • 相關分類: DeepLearning

    • 海外代購書籍(需單獨結帳)

商品描述

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

商品描述(中文翻譯)

這本書探討如何在各種應用中使用生成對抗網絡（Generative Adversarial Networks, GAN），並強調其相較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，包括為處理文本、圖像和音頻創建新工具和方法。

生成對抗網絡（GAN）是一種機器學習框架，並且是深度學習應用中下一個新興的網絡。生成對抗網絡（GANs）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在科學和技術中有多種應用，包括計算機視覺、安全性、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、高解析度圖像生成、藥物發現等。

**特點**：
- 提供如何使用GAN處理圖像和視頻的全面指南。
- 包含使用生成對抗網絡進行水下圖像增強和使用GAN進行入侵檢測的案例研究。
- 突出使用深度學習方法的遊戲效果的納入。
- 檢視GAN的重大技術進展及其在現實世界中的應用。
- 討論GAN的挑戰及最佳解決方案。

本書針對更廣泛的受眾，如初級和高級工程學生、本科生和研究生、研究人員，以及任何對GAN和深度學習的趨勢發展和機會感興趣的人士。

本書的材料可作為圖書館、認證機構、政府機構，特別是打算啟動或改革其工程課程的高等教育學術機構的參考資料。

作者簡介

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.

作者簡介(中文翻譯)

Dr. Roshani Raut 擁有計算機科學與工程的博士學位，目前在印度馬哈拉施特拉邦普納的 Savitribai Phule 普納大學 Pimpri Chinchwad 工程學院資訊科技系擔任副教授及國際關係副院長。她因研究、教學和行政工作獲得了多項國內和國際獎項。她擔任 IGI Global、CRC Taylor and Francis 和 Scirvener Wiley 等多本即將出版書籍的作者/編輯。她在各種會議委員會中擔任召集人、技術程序委員會成員和董事會成員。她獲得了普納大學 BCUD 的研究和工作坊資助。她在國內外會議和期刊上發表了超過 70 篇研究報告。她擁有 15 項專利，其中 3 項已獲得批准。她的研究領域包括人工智慧、機器學習、資料探勘、深度學習、物聯網等。更多詳情請參見：https://roshaniraut531.wixsite.com/roshaniraut

Dr. Pranav D Pathak 是普納 MIT 生物工程科學與研究學院的副教授。他在 Amravati 大學獲得本科和碩士學位，並在印度納格浦爾的 Visvesvaraya 國立技術學院獲得博士學位。他的研究興趣包括印度傳統知識在醫藥、生物精煉、吸附分離、固體廢物利用和廢水處理中的應用。他在 SCI/SCIE 期刊和書籍章節上發表了超過 25 篇文章。他參加了 30 次國內/國際會議。目前，他是幾本國際期刊的編輯委員會成員和審稿人。

Dr. Sachin R Sakhare 在印度普納的 Vishwakarma 資訊技術學院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 Savitribai Phule 普納大學認可為博士生導師，目前指導 7 名博士生。他是 CSI、ISTE 和 IAEngg 的終身會員。他在國內外期刊和會議上發表了 39 篇研究報告，引用次數約為 248，H 指數為 6。他著有 6 本書籍。他曾擔任 Elsevier、Hindawi、Inderscience、IETE 和 Springer 出版的期刊的審稿人。他也曾擔任 IEEE、Springer 和 ACM 組織的各種會議的審稿人。他還曾擔任多個國際會議的技術和諮詢委員會成員。Dr. Sachin 在各種會議、FDP 和 STTP 中發表了邀請演講，並對研究生和博士生進行了指導。他指導了 26 名碩士生。以他的名義獲得了 2 項印度專利和 2 項澳大利亞專利。Dr. Sachin 也與國際大學有合作關係。他曾受邀在荷蘭阿姆斯特丹應用科技大學（AUAS）擔任客座教授，進行有關資料結構和物聯網的課程。他還曾訪問丹麥奧爾堡大學和德國亞琛工業大學進行學術合作。他獲得了 AICTE 和普納大學 BCUD 的研究工作坊資助。他已申請並發表了 4 項印度專利和 6 項版權。以他的名義獲得了一項澳大利亞專利。他曾就以結果為基礎的教育和 NBA 認證進行過演講。他已完成 ABET 認證的課程。

Dr. Sonali Patil（IEEE 高級會員）是一位著名的教育工作者，目前擔任印度馬哈拉施特拉邦普納 Savitribai Phule 普納大學（SPPU）Pimpri Chinchwad 工程學院（PCCoE）資訊科技系的教授和系主任。她在學術界活躍了超過 19 年。她的學歷包括計算機科學與工程學士學位、計算機工程碩士學位和計算機工程博士學位（Ph.D.）。截至目前，她在知名國際期刊和會議上發表了超過 70 篇研究論文，並持有國際和國內的專利出版物。她獲得了 IEEE 普納分會頒發的「2021 年度 IEEE 創新者/研究者獎」和印度 Science Father 組織頒發的「女性研究者獎」。她在多個平台上發表了專家演講，並持續熱衷於為資訊科技領域貢獻她的教學專業知識。

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