Computational Methods for Deep Learning: Theoretic, Practice and Applications
暫譯: 深度學習的計算方法：理論、實踐與應用

Yan, Wei Qi

Computational Methods for Deep Learning: Theoretic, Practice and Applications

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商品描述

Integrating concepts from deep learning, machine learning, and artificial neural networks, this highly unique textbook presents content progressively from easy to more complex, orienting its content about knowledge transfer from the viewpoint of machine intelligence. It adopts the methodology from graphical theory, mathematical models, and algorithmic implementation, as well as covers datasets preparation, programming, results analysis and evaluations.

Beginning with a grounding about artificial neural networks with neurons and the activation functions, the work then explains the mechanism of deep learning using advanced mathematics. In particular, it emphasizes how to use TensorFlow and the latest MATLAB deep-learning toolboxes for implementing deep learning algorithms.

As a prerequisite, readers should have a solid understanding especially of mathematical analysis, linear algebra, numerical analysis, optimizations, differential geometry, manifold, and information theory, as well as basic algebra, functional analysis, and graphical models. This computational knowledge will assist in comprehending the subject matter not only of this text/reference, but also in relevant deep learning journal articles and conference papers.

This textbook/guide is aimed at Computer Science research students and engineers, as well as scientists interested in deep learning for theoretic research and analysis. More generally, this book is also helpful for those researchers who are interested in machine intelligence, pattern analysis, natural language processing, and machine vision.

Dr. Wei Qi Yan is an Associate Professor in the Department of Computer Science at Auckland University of Technology, New Zealand. His other publications include the Springer title, Visual Cryptography for Image Processing and Security.


商品描述(中文翻譯)

整合深度學習、機器學習和人工神經網絡的概念，這本獨特的教科書以由淺入深的方式逐步呈現內容，從機器智能的角度探討知識轉移。它採用圖論、數學模型和算法實現的方法論，並涵蓋數據集準備、編程、結果分析和評估。

本書首先介紹人工神經網絡的基礎，包括神經元和激活函數，然後使用高級數學解釋深度學習的機制。特別強調如何使用 TensorFlow 和最新的 MATLAB 深度學習工具箱來實現深度學習算法。

作為先決條件，讀者應該對數學分析、線性代數、數值分析、優化、微分幾何、流形和信息理論有扎實的理解，以及基本的代數、泛函分析和圖形模型。這些計算知識將有助於理解本書/參考資料的主題，以及相關的深度學習期刊文章和會議論文。

本教科書/指南旨在針對計算機科學研究生和工程師，以及對深度學習進行理論研究和分析的科學家。更一般來說，本書對於那些對機器智能、模式分析、自然語言處理和機器視覺感興趣的研究者也非常有幫助。

魏啟彥博士是紐西蘭奧克蘭科技大學計算機科學系的副教授。他的其他出版物包括施普林格的書籍《圖像處理與安全的視覺密碼學》。

作者簡介

Dr. Wei Qi Yan received a doctorate degree of computer engineering from the Chinese Academy of Sciences, Beijing, China in 2001, he moved to the School of Computing (SoC), National University of Singapore, and worked as a Research Fellow, later as a regular faculty member from 2003 to 2005. In 2005, he joined the Columbia University in New York City, USA, as a Research Scholar. He moved to the University of California, Irvine USA in 2006. He joined the Queen's University Belfast (Russell Group UK), as a Lecturer in 2007 and moved to the Auckland University of Technology (AUT), New Zealand in 2011; he is the Director of Computer and Cyber Security (CCS) Research Group since 2011 and the Deputy Director of CeRV (Robotics & Vision) research centre since 2015, the Director of CeRV from 2019.

Dr. Yan has contributed to 13 granted research proposals. He has co-authored 13 research books as well as over 230 publications (J: 80+) with more than 2,900 Google citations, one of his research papers has been cited over 700 times. His publications have been accepted or appeared in the ACM and IEEE journals and conferences. Dr. Yan's research distinctions at AUT include deep learning, intelligent surveillance, currency security, visual cryptography, digital event computing, intelligent navigations, etc. Dr. Yan is a regular reviewer of Ph.D. theses of AUT, the Massey University, the University of Canterbury, the University of Auckland (UoA), New Zealand, and the Nanyang Technological University (NTU), Singapore.

Dr. Yan's services have included being a TPC member of all the top ACM and IEEE conferences in his research area, Track Chair of IEEE VCIP 2020 and IEEE ICME 2020, Publication Chair of IAPR ACPR 2019, Program Chair of IEEE AVSS 2018, General Chair of ISGV2021 and IWDW 2013, and Program Chair of WSVS 2015 and IWDCF 2015/2016/2017. Dr. Yan has delivered over 100 talks around the world, and his visit to the Chinese Academy of Sciences China was sponsored by the Royal Society of New Zealand (RSNZ), Ministry of Science and Technology (MOST) China in 2013. He is an Adjunct Professor of the Chinese Academy of Sciences, China, with Ph.D. supervision. Dr. Yan was a Visiting Professor of the University of Auckland (UoA), the Massey University, and the National University of Singapore (NUS).

Dr. Yan is serving as the Editor-in-Chief (EiC) of the International Journal Digital Crime Forensics (IJDCF) from 2014 to 2019, now an Editor-inChief Emeritus; a Guest Editor of the Springer Transactions on Data Hiding and Multimedia Security (DHMS), a book reviewer of John Wiley and Sons, IGI global, and a proposal reviewer of Ministry of Business, Innovation, and Employment (MBIE) of New Zealand. He is also a member of the ACM, the Chair of ACM New Zealand chapter in Multimedia, a senior member of the IEEE, TC members of the IEEE, and a Fellow of the Higher Education Academy (FHEA), UK.

Dr. Wei Qi Yan is an Associate Professor with the Department of Computer Science at Auckland University of Technology, New Zealand. His other publications include the Springer books: Visual Cryptography for Image Processing and Security; Introduction to Intelligent Surveillance.


作者簡介(中文翻譯)

顏維奇博士於2001年獲得中國科學院計算機工程博士學位，隨後於2001年移居新加坡國立大學計算學院（SoC），擔任研究員，並於2003年至2005年期間成為正式教職員。2005年，他加入美國紐約市的哥倫比亞大學，擔任研究學者。2006年，他轉至美國加州大學爾灣分校。2007年，他加入貝爾法斯特女王大學（英國羅素集團），擔任講師，並於2011年轉至紐西蘭奧克蘭科技大學（AUT）；自2011年以來，他一直擔任計算機與網絡安全（CCS）研究小組的主任，自2015年以來擔任機器人與視覺（CeRV）研究中心的副主任，自2019年起擔任CeRV主任。

顏博士已為13個獲批的研究提案做出貢獻。他共同撰寫了13本研究書籍以及超過230篇出版物（J: 80+），並擁有超過2,900次的Google引用，其中一篇研究論文被引用超過700次。他的出版物已被ACM和IEEE期刊及會議接受或發表。顏博士在AUT的研究領域包括深度學習、智能監控、貨幣安全、視覺密碼學、數位事件計算、智能導航等。顏博士是AUT、梅西大學、坎特伯雷大學、奧克蘭大學（UoA）和新加坡南洋理工大學（NTU）博士論文的定期審稿人。

顏博士的服務包括擔任其研究領域所有頂尖ACM和IEEE會議的TPC成員，IEEE VCIP 2020和IEEE ICME 2020的Track Chair，IAPR ACPR 2019的Publication Chair，IEEE AVSS 2018的Program Chair，ISGV2021和IWDW 2013的General Chair，以及WSVS 2015和IWDCF 2015/2016/2017的Program Chair。顏博士在全球發表了超過100場演講，他於2013年訪問中國科學院的行程由新西蘭皇家學會（RSNZ）和中國科技部（MOST）贊助。他是中國科學院的兼任教授，負責博士生的指導。顏博士曾擔任奧克蘭大學（UoA）、梅西大學和新加坡國立大學（NUS）的訪問教授。

顏博士自2014年至2019年擔任《國際數位犯罪取證期刊》（IJDCF）的主編，現為名譽主編；擔任Springer《數據隱藏與多媒體安全期刊》（DHMS）的客座編輯，並為John Wiley and Sons、IGI Global的書籍審稿人，以及新西蘭商業、創新與就業部（MBIE）的提案審稿人。他還是ACM的成員，擔任ACM新西蘭分會多媒體的主席，是IEEE的高級會員，IEEE的TC成員，以及英國高等教育學院（FHEA）的院士。

顏維奇博士是紐西蘭奧克蘭科技大學計算機科學系的副教授。他的其他出版物包括Springer書籍：《影像處理與安全的視覺密碼學；智能監控導論》。

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