Deep Learning Networks: Design, Development and Deployment
暫譯: 深度學習網絡：設計、開發與部署

本教科書介紹了深度學習網絡設計、開發和部署的多個面向，適合學生和業界從業者。它介紹了一套深度學習工具，並將深度學習概念交織在一起，以增強理解。書中還呈現了編程的設計和技術方面，並提供了一種實用的方法來理解編程與技術之間的關係，適用於各種應用。它為讀者提供了一個教程，以學習廣泛的概念建模和編程工具，這些工具能夠驅動深度學習應用。該書特別針對修習高年級本科課程的學生以及對學習和應用深度學習方法於實際現實問題感興趣的業界從業者。這本書的獨特特點包括：
- 易於理解的深度學習網絡設計、開發和部署的多個面向描述；
- 促進理解基礎技術的實用工具；
- 涵蓋廣泛的概念建模和編程工具，這些工具能夠驅動深度學習應用。

Dr. Jayakumar Singaram is a veteran in semiconductor electronics, and a Strategic consultant to companies, such as Mistral Solutions, Bangalore, Bilva infra, Bangalore, SunPlus Software, Bangalore, and Apollo Tyre's, Chennai, among others. He drives deployment ready solutions using AI in IoT Edge/Node. He began his career working in Hindustan Aeronautics Bangalore, followed by Cranes InfoTech and Mistral Solution before launching a start-up world by steering brands like Epigon Media Technologies, Rinanu Semiconductor, and many more. He had been one of the core team members and also led the design and development of `Networked Karaoke Machine'' (which enabled TAITO Corp. Japan to become No. 2 in the world of Networked Karaoke). Another major milestone has been his contribution to the development of Satellite Radio Receiver going by the brand name of 'WorldSpace'. He is working on Deep Learning applications by using IBM Watson services. He has worked on key projects such as design anddevelopment of the Karaoke Machine (a project in collaboration with Analog Devices and MIT Media Lab) for TAITO Corp. He also worked on Satellite Radio Receiver for WorldSpace broadcast Satellites (and DAB Radio Receivers), by using low-cost Digital Signal Processors from Analog Devices. He has a B.Tech in Aeronautical engineering from Madras Institute of Technology and also holds an undergraduate degree in Mathematics from Madras University. He has Masters and Doctorate degree in Systems and Control Engineering from Indian Institute of Technology, Bombay and a Research Fellow at KU Leuven University. As a Doctoral Thesis problem, he had worked on " Simultaneous Stabilization of Feedback Systems". He had worked as a Board Member and Dean of School of Computing Science and Engineering at Periyar Maniammai Institute of Science and Technology, Thanjavur, India, from 2007 to 2014. He was trustee of School of Music and Dance, Indiranagar-Bangalore, during 2009 to 2016. Link www.jkuse.com provides more details about him. He would like to thank the founders of Mistral Solutions, Anees Ahmed and Rajeev Ramachandra. And also he likes to thank his family members, Dr Suneetha Rao, Dr Vaidhehi and Niranjan Kumar for their support while writing this early version of book.

Dr. S.S. Iyengar is currently the Distinguished University Professor, Founding Director of the Discovery Lab and Director of the US Army funded Center of Excellence in Digital Forensics at Florida International University, Miami. He is also the Distinguished Chaired Professor (Hon.) at National Forensics Sciences University, Gandhinagar, India. He has been involved with research and education in high-performance intelligent systems, Data Science and Machine Learning Algorithms, Sensor Fusion, Data Mining, and Intelligent Systems. Since receiving his Ph.D. degree in 1974 from MSU, USA, he has directed over 65 Ph.D. students, 100 Master's students, and many undergraduate students who are now faculty at Major Universities worldwide or Scientists or Engineers at National Labs/Industries around the world. He has published more than 600 research papers, has authored/co-authored and edited 26 books. His h-index is 65 with over 20,100 citations and is among the list of top 2% cited scholars of Stanford study this year. His books are published by MIT Press, John Wiley and Sons, CRC Press, Prentice Hall, Springer Verlag, IEEE Computer Society Press, etc. One of his books titled "Introduction to Parallel Algorithms" has been translated into Chinese. During the last thirty years Dr. Iyengar has brought in over 65 million dollars for research and education. More recently in Spring 2021, Dr. Iyengar in collaboration with HBCUs were awarded a $2.25 M funding for setting up a Digital Forensics Center of Excellence over a period of 5 years (2021-2026). He has been awarded the Lifetime Achievement Award for his contribution to the field of Digital Forensics on November 8, 2022, during the 7th INTERPOL DIGITAL FORENSICS EXPERT GROUP (DFEG) MEETING at National Forensics Sciences University, Gandhinagar, Gujarat, India. He has providing the students and faculty with a vision for active learning and collaboration at Jackson State University, Louisiana State University, Florida International University, and across the world. Dr. Iyengar's career is a distinguished one, marked by his incredible record of success in groundbreaking research, inspirational teaching and excellence in community service. It is his consistent drive to fight for and promote the minority and underrepresented groups which is his passion. Dr. S.S. Iyengar is an interdisciplinary computational scientist of international repute who has been a pioneer in multiple fields. Marked by his incredible record of success in the areas of world-class research, superb teaching, and excellence in community service, he has also significantly impacted industry, through his many discoveries and patents. His distinguished international and national research work have consistently been recognized by US government agencies, industry pioneers, and his research colleagues. His work has been featured on the cover of the National Science Foundation's breakthrough technologies in both 2014 and again in 2016. Dr. Iyengar has garnered multiple awards for his work and made fundamental contributions in a variety of areas that impact our lives today. His seminal contributions continue to be seen in places like Raytheon, Telcordia, Motorola the United States Navy, DARPA and other universities and research laboratories around the world.

Dr. Azad Madni is the founder and CEO of Intelligent Systems Technology, Inc. a high tech company specializing in modeling and simulation technology for complex systems engineering, education and training. He's the Executive Director of University of Southern California's Systems Architecting and Engineering (SAE) Program and Professor of Astronautical Engineering in USC's Viterbi School of Engineering. His previous positions include Executive Vice President and Chief Technology Officer of Perceptronics, and Simulation Research Leader at Rockwell International on NASA's Space Shuttle Program. He pioneered the meta-discipline of transdisciplinary systems engineering to exploit the convergence of systems engineering with other disciplines. He is the creator of model-driven storytelling, a transdisciplinary approach that integrates model-based engineering with interactive storytelling in virtual worlds to enhance stakeholder participation in upfront engineering. His areas of expertise include model-based methods for architecting and design of resilient systems and enterprizes and intelligent systems for planning, decision making, training and tutoring. His research in these areas has been sponsored by the federal government, aerospace and automotive companies, several DOD agencies, Air Force, Army, Navyand Marine Corps. His research sponsors in the government include DARPA, OSD, DHS, S&T, MDA, DOE, NIST and NASA. His research sponsors in the aerospace and automotive industries include Boeing, General Motors, NGC, Raytheon, Hughes, Omnicon and SAIC. He has served as a consultant to Institute for Defense Analysis, RAND Corporation, UCLA, Oakridge National Laboratory, and Omnicon. Azad Madni's current research focuses on formal and probabilistic methods for complex systems engineering, model-based engineering frameworks and testbeds for defining, analyzing, integrating and testing of adaptive cyber-physical-human-systems, and system-of-systems and enterprize architecting. He is the co-founder and current chair of IEEE Systems, Man and Cybernetics, Model-Based Systems Engineering Technical Committee, and serves on the steering committees of multiple centers at USC. He received his B.S., M.S., and Ph.D. from the University of California, Los Angeles.

Dr. Jayakumar Singaram 是半導體電子領域的資深專家，並擔任多家公司的戰略顧問，包括位於班加羅爾的 Mistral Solutions、Bilva infra、SunPlus Software，以及位於金奈的 Apollo Tyre 等。他推動使用 AI 在 IoT Edge/Node 中的部署就緒解決方案。他的職業生涯始於班加羅爾的 Hindustan Aeronautics，隨後在 Cranes InfoTech 和 Mistral Solution 工作，之後創立了多個品牌，如 Epigon Media Technologies、Rinanu Semiconductor 等。他曾是核心團隊成員之一，並主導設計和開發了「網路卡拉 OK 機」，使得日本的 TAITO Corp. 成為全球網路卡拉 OK 的第二大公司。他在開發名為「WorldSpace」的衛星收音機接收器方面也做出了重要貢獻。他正在使用 IBM Watson 服務進行深度學習應用的研究。他參與的關鍵項目包括為 TAITO Corp. 設計和開發的卡拉 OK 機（與 Analog Devices 和 MIT Media Lab 合作的項目）。他還為 WorldSpace 廣播衛星（以及 DAB 收音機接收器）開發了衛星收音機接收器，使用了來自 Analog Devices 的低成本數位信號處理器。他擁有來自馬德拉斯科技學院的航空工程學士學位，並持有馬德拉斯大學的數學學士學位。他在孟買的印度理工學院獲得系統與控制工程的碩士和博士學位，並在 KU Leuven 大學擔任研究員。作為博士論文的研究問題，他曾研究「反饋系統的同時穩定化」。他曾於 2007 年至 2014 年擔任印度坦賈武爾的 Periyar Maniammai 科技學院計算科學與工程學院的董事會成員及院長。他在 2009 年至 2016 年期間擔任班加羅爾 Indiranagar 音樂與舞蹈學院的受託人。更多詳細資訊請參見 www.jkuse.com。他感謝 Mistral Solutions 的創始人 Anees Ahmed 和 Rajeev Ramachandra，也感謝他的家人 Dr. Suneetha Rao、Dr. Vaidhehi 和 Niranjan Kumar 在撰寫本書早期版本時的支持。

Dr. S.S. Iyengar 目前是佛羅里達國際大學的傑出大學教授、Discovery Lab 的創始主任，以及美國陸軍資助的數位取證卓越中心的主任。他同時也是印度甘地納加爾國立法醫科學大學的傑出榮譽教授。他參與高效能智能系統、數據科學和機器學習算法、傳感器融合、數據挖掘和智能系統的研究和教育。自 1974 年在美國 MSU 獲得博士學位以來，他指導了超過 65 名博士生、100 名碩士生，以及許多本科生，這些學生如今在全球主要大學擔任教職或在國家實驗室/工業界擔任科學家或工程師。他已發表超過 600 篇研究論文，並撰寫/合著和編輯了 26 本書籍。他的 h-index 為 65，引用次數超過 20,100，並在斯坦福研究的前 2% 被引用學者名單中。他的書籍由 MIT Press、John Wiley and Sons、CRC Press、Prentice Hall、Springer Verlag、IEEE Computer Society Press 等出版。其中一本名為《Introduction to Parallel Algorithms》的書籍已被翻譯成中文。在過去的三十年中，Dr. Iyengar 為研究和教育籌集了超過 6500 萬美元。最近在 2021 年春季，Dr. Iyengar 與 HBCUs 合作獲得了 225 萬美元的資金，用於在 5 年內（2021-2026）建立數位取證卓越中心。他於 2022 年 11 月 8 日在印度甘地納加爾的國立法醫科學大學舉行的第七屆 INTERPOL 數位取證專家小組會議上獲得了數位取證領域的終身成就獎。他為傑克遜州立大學、路易斯安那州立大學、佛羅里達國際大學及全球各地的學生和教職員提供了主動學習和合作的願景。Dr. Iyengar 的職業生涯卓越，因其在開創性研究、啟發性教學和社區服務方面的卓越成就而聞名。他始終致力於為少數族裔和弱勢群體發聲，這是他的熱情所在。Dr. S.S. Iyengar 是一位享有國際聲譽的跨學科計算科學家，在多個領域中都是先驅。他在世界級研究、卓越教學和社區服務方面的卓越成就，對行業也產生了重大影響，通過他的多項發現和專利。他的國際和國內研究工作得到了美國政府機構、行業先驅和研究同事的一致認可。他的工作在 2014 年和 2016 年的國家科學基金會突破技術封面上均有展示。Dr. Iyengar 因其工作獲得了多項獎項，並在多個影響我們今天生活的領域做出了根本性貢獻。他的開創性貢獻在雷神公司、Telcordia、摩托羅拉、美國海軍、DARPA 及世界各地的其他大學和研究實驗室中持續可見。

Dr. Azad Madni 是 Intelligent Systems Technology, Inc. 的創始人兼首席執行官，這是一家專注於複雜系統工程、教育和訓練的建模和模擬技術的高科技公司。他是南加州大學系統架構與工程（SAE）計劃的執行主任，以及南加州大學維特比工程學院的航天工程教授。他的前職位包括 Perceptronics 的執行副總裁和首席技術官，以及洛克威爾國際公司在 NASA 太空梭計劃中的模擬研究領導者。他開創了跨學科系統工程的元學科，以利用系統工程與其他學科的融合。他是模型驅動敘事的創始人，這是一種跨學科的方法，將基於模型的工程與虛擬世界中的互動敘事相結合，以增強利益相關者在前期工程中的參與。他的專業領域包括用於設計和架構韌性系統和企業的基於模型的方法，以及用於規劃、決策、訓練和輔導的智能系統。他在這些領域的研究得到了聯邦政府、航空航天和汽車公司的資助，以及多個國防部機構、空軍、陸軍、海軍和海軍陸戰隊的支持。他的政府研究資助者包括 DARPA、OSD、DHS、S&T、MDA、DOE、NIST 和 NASA。他在航空航天和汽車行業的研究資助者包括波音、通用汽車、NGC、雷神、休斯、Omnicon 和 SAIC。他曾擔任國防分析研究所、RAND 公司、加州大學洛杉磯分校、奧克里奇國家實驗室和 Omnicon 的顧問。Azad Madni 當前的研究專注於複雜系統工程的形式和概率方法、基於模型的工程框架以及用於定義、分析、整合和測試自適應網絡物理人系統、系統之系統和企業架構的測試平台。他是 IEEE 系統、人類與控制論、基於模型的系統工程技術委員會的共同創始人和現任主席，並在南加州大學的多個中心的指導委員會中任職。他在加州大學洛杉磯分校獲得了學士、碩士和博士學位。