Deep Learning: A Comprehensive Guide
暫譯: 深度學習：全面指南

Vasudevan, Shriram K., Pulari, Sini Raj, Vasudevan, Subashri

Deep Learning: A Comprehensive Guide
  • 出版商: CRC
  • 出版日期: 2021-12-21
  • 售價: $5,870
  • 貴賓價: 9.5 折 $5,577
  • 語言: 英文
  • 頁數: 204
  • 裝訂: Hardcover - also called cloth, retail trade, or trade
  • ISBN: 1032028823
  • ISBN-13: 9781032028828
  • 相關分類: DeepLearning

    • 海外代購書籍(需單獨結帳)

商品描述

Deep Learning: A Comprehensive Guide provides comprehensive coverage of Deep Learning and Machine Learning concepts. Deep Learning and Machine Learning are the most sought-after domains, require a deep understanding and this book gives no less than that. This book enables the reader to build innovative and useful applications based on ML and DL. Starting from the basics of neural networks, the architecture of various types of CNNs, RNN, LSTM, etc. till the end of the book, each and every topic is given the utmost care and shaped professionally and comprehensively.

  • Includes the smooth transition from ML concepts to DL concepts

  • Line by line explanation has been provided for all the coding-based examples

  • Includes a lot of real-time examples and interview questions that will prepare the reader to take up a job in ML\DL right away

  • Even a person with a non-computer science background can benefit from this book by following the theory, examples, case studies, and code snippets

  • Every chapter starts with the objective and ends with a set of quiz questions to test the readers' understanding

  • Includes references to the YouTube videos for providing additional guidance

AI is a domain for everyone. The book is targeted towards everyone irrespective of their field of specialization. Graduates and researchers in deep learning will find this book useful.

商品描述(中文翻譯)

《深度學習：全面指南》提供了深度學習和機器學習概念的全面覆蓋。深度學習和機器學習是當前最受追捧的領域，要求深入理解，而本書正是提供了這樣的內容。本書使讀者能夠基於機器學習（ML）和深度學習（DL）構建創新且有用的應用程序。從神經網絡的基本概念開始，涵蓋各類型的卷積神經網絡（CNN）、遞歸神經網絡（RNN）、長短期記憶（LSTM）等，直到書籍結尾，每一個主題都得到了極大的重視，並以專業和全面的方式進行了闡述。

- 包含從機器學習概念到深度學習概念的平滑過渡
- 所有基於程式碼的範例都提供了逐行解釋
- 包含大量的實時範例和面試問題，幫助讀者立即準備好進入機器學習/深度學習的工作
- 即使是非計算機科學背景的人也能通過理論、範例、案例研究和程式碼片段從本書中受益
- 每一章都以學習目標開始，並以一組測驗問題結束，以測試讀者的理解
- 包含指向YouTube視頻的參考，以提供額外的指導

人工智慧是每個人的領域。本書針對所有人，不論其專業領域為何。深度學習的畢業生和研究人員將會發現本書非常有用。

作者簡介

Dr. Shriram K Vasudevan is an Academician with a blend of Industrial and Teaching experience for 15 years. Strongly passionate to take up challenging tasks. Authored / Co-Authored 42 books for reputed publishers across the globe. Authored 122 research papers in revered international journals, 30 Papers in international/national conferences. Currently working as Dean of K.Ramakrishnan College of Technology. He is a Fellow - IETE, ACM Distinguished Speaker, CSI Distinguished Speaker, and Intel Software Innovator. He has a YouTube channel - Shriram Vasudevan, through which he teaches thousands of people all around the world.

Recognized/awarded by Datastax, ACM, IETE, Proctor and Gamble Innovation Centre (India), Dinamalar, AWS (Amazon Web Services), Sabre Technologies, IEEE Compute, Syndicate Bank, MHRD, Elsevier, Bounce, IncubateInd, Smart India Hackathon, Stop the bleed, Hackharvard (Harvard University), Accenture Digital (India), NEC (Nippon Electric Company, Japan), Thought Factory (Axis Bank Innovation Lab), Rakuten (Japan), Titan, Future Group, Institution of Engineers of India (IEI), Ministry of Food Processing Industries (MoFPI - Govt. of India), Intel, Microsoft, Wipro, Infosys, IBM India, SoS Ventures (USA), VIT University, Amrita University, Computer Society of India, TBI - TIDE, ICTACT, Times of India, Nehru Group of institutions, Texas Instruments, IBC Cambridge, Cisco, CII (Confederation of Indian Industries), Indian Air Force, DPSRU Innovation & Incubation Foundation, ELGi Equipments (Coimbatore), etc. for his technical expertise. Listed in many famous biographical databases.

The notable honors are: First Indian to be selected as HDE (Huawei Developer Expert), NVIDIA Certified Deep Learning Instructor, Winner of the HARVARD University - Hack Harvard Global 2019 - World Hack - 2019. Winner of 50 plus hackathons, Selected as Intel IoT Innovator and inducted into Intel Software Innovator group. Awarded Top Innovator award - 2018, Top Innovator - Innovator Summit 2019, World Record Holder - With Sister Subashri Vasudevan (Only Sibling in the Globe to have authored 9 books together, Unique World Record Books), Entry in Limca book of records for National Record - 2015, Entry in India Book of Records - National Record and Appreciation. - 2017.

Ms. Siniraj Pulari is a Professor in a Government University in Bahrain with 14 years of experience in various reputed Indian universities and Industry by making contributions to the teaching field and carrying out activities to maintain and develop, research and professional activities relevant to Computer Science Engineering. Research interests include areas of Natural Language Processing, Recommender systems, Information Retrieval, Deep Learning and Machine Learning

Authored 17 plus Scopus Indexed Publications, Guided over 30+ UG and PG students for various innovative product based and algorithmic ideas, was an active member of the Funded Project -Early Warning and Monitoring System of Elephants - Amrita University, Member of International Association of Engineers (IAENG) and Computer Society of India (CSI). Delivered various invited lectures on the Applications and emerging trends in a variety of upcoming technological and research advancements. Actively participated to the board of studies. Organized, presented and participated various national and international Technical Events, Conferences, Workshops and Hackathons. Have been in the International Advisory committee of various International Conferences.

Ms. Subashri holds an M.Tech in CSE and was associated with Cognizant Technology solutions for around 8+ years before taking a break. She was working as a senior developer and has exposure to various DOTNET technologies and reporting tools. She has co authored 25+ technical books for reputed publishers across the world. Few of them include, Software Engineering, C# programming, C++ programming, etc. Her name is featured in the Limca book of records for the category - maximum number of books authored by siblings. She has recently developed an interest in the IoT and ML areas and started contributing to the projects involving these technologies. Teaching is her passion and she wants to make technology look simpler for the students. She also manages a technical YouTube (All about BI) channel for Azure related concepts and she has also delivered dozens of lectures in various educational institutions.

作者簡介(中文翻譯)

Dr. Shriram K Vasudevan 是一位學者，擁有 15 年的工業與教學經驗，對於挑戰性任務充滿熱情。他為全球知名出版社撰寫或共同撰寫了 42 本書籍，並在受尊敬的國際期刊上發表了 122 篇研究論文，以及在國際/國內會議上發表了 30 篇論文。目前擔任 K.Ramakrishnan 科技學院的院長。他是 IETE 的院士、ACM 傑出演講者、CSI 傑出演講者及 Intel 軟體創新者。他擁有一個 YouTube 頻道 - Shriram Vasudevan，透過該頻道教導全球數千人。

他曾獲得 Datastax、ACM、IETE、Proctor and Gamble 創新中心（印度）、Dinamalar、AWS（Amazon Web Services）、Sabre Technologies、IEEE Compute、Syndicate Bank、MHRD、Elsevier、Bounce、IncubateInd、Smart India Hackathon、Stop the bleed、Hackharvard（哈佛大學）、Accenture Digital（印度）、NEC（日本電氣公司）、Thought Factory（Axis Bank 創新實驗室）、Rakuten（日本）、Titan、Future Group、印度工程師協會（IEI）、食品加工工業部（MoFPI - 印度政府）、Intel、Microsoft、Wipro、Infosys、IBM 印度、SoS Ventures（美國）、VIT 大學、Amrita 大學、印度計算機學會、TBI - TIDE、ICTACT、印度時報、尼赫魯機構集團、德州儀器、IBC 劍橋、Cisco、CII（印度工業聯合會）、印度空軍、DPSRU 創新與孵化基金會、ELGi 設備（科印巴杜）等機構的技術專業認可/獲獎。他在許多著名的傳記數據庫中列名。

值得注意的榮譽包括：第一位被選為 HDE（華為開發者專家）的印度人、NVIDIA 認證深度學習講師、2019 年哈佛大學 - Hack Harvard 全球黑客大賽的獲勝者。贏得 50 多場黑客馬拉松，選為 Intel IoT 創新者並加入 Intel 軟體創新者小組。獲得 2018 年最佳創新者獎、2019 年創新者峰會最佳創新者、世界紀錄保持者 - 與 Subashri Vasudevan 姊妹（全球唯一共同撰寫 9 本書籍的兄弟姐妹，獨特的世界紀錄書籍）、2015 年國家紀錄的 Limca 紀錄冊入選、2017 年印度紀錄冊的國家紀錄及表彰。

Ms. Siniraj Pulari 是巴林一所政府大學的教授，擁有 14 年在多所知名印度大學及工業界的經驗，對教學領域做出了貢獻，並進行與計算機科學工程相關的研究及專業活動的維護與發展。研究興趣包括自然語言處理、推薦系統、資訊檢索、深度學習及機器學習等領域。

她撰寫了 17 篇以上的 Scopus 索引出版物，指導了 30 多名本科及研究生學生進行各種創新產品及演算法的想法，曾是資助項目 - 大象早期預警與監測系統 - Amrita 大學的活躍成員，並且是國際工程師協會（IAENG）及印度計算機學會（CSI）的成員。她在各種即將到來的技術及研究進展中，發表了多場受邀演講。積極參與學術委員會的工作，組織、展示及參加各種國內外技術活動、會議、研討會及黑客馬拉松。曾在多個國際會議的國際諮詢委員會中任職。

Ms. Subashri 擁有計算機科學與工程的碩士學位，並在 Cognizant Technology Solutions 工作了約 8 年後休息。她曾擔任高級開發人員，並接觸過各種 DOTNET 技術及報告工具。她為全球知名出版社共同撰寫了 25 本以上的技術書籍，其中包括《軟體工程》、《C# 程式設計》、《C++ 程式設計》等。她的名字出現在 Limca 紀錄冊中，屬於兄弟姐妹共同撰寫書籍數量最多的類別。她最近對物聯網及機器學習領域產生了興趣，並開始參與涉及這些技術的項目。教學是她的熱情所在，她希望讓技術對學生來說變得更簡單。她還管理一個技術 YouTube 頻道（All about BI），專注於 Azure 相關概念，並在各種教育機構中發表了數十場講座。

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