MARC Record from marc_columbia

LEADER: 07820cam a2200649 i 4500
001 15830207
005 20220219231228.0
006 m o d
007 cr cnu---unuuu
008 210818t20222022flua ob 001 0 eng
010 $a 2021031714
035 $a(OCoLC)on1267403417
035 $a(NNC)15830207
040 $aDLC$beng$erda$cDLC$dTYFRS$dYDX$dOCLCF$dOCLCO$dUBY
020 $a9781003185635$qelectronic book
020 $a1003185630$qelectronic book
020 $a9781000481877$qelectronic book
020 $a1000481875$qelectronic book
020 $a9781000481884$qelectronic book
020 $a1000481883$qelectronic book
020 $z9781032028828$qhardcover
020 $z9781032028859$qpaperback
035 $a(OCoLC)1267403417
037 $a9781003185635$bTaylor & Francis
042 $apcc
050 04 $aQ325.73$b.V37 2022
072 7 $aCOM$x037000$2bisacsh
072 7 $aCOM$x021030$2bisacsh
072 7 $aUY$2bicssc
082 00 $a006.3/1$223
049 $aZCUA
100 1 $aVasudevan, Shriram K.,$eauthor.
245 10 $aDeep learning :$ba comprehensive guide /$cShriram K. Vasudevan, Sini Raj Pulari, Subashri Vasudevan.
250 $aFirst edition.
264 1 $aBoca Raton, FL :$bChapman & Hall/CRC Press,$c2022.
264 4 $c©2022
300 $a1 online resource (xv, 290 pages) :$billustrations
336 $atext$btxt$2rdacontent
337 $acomputer$bc$2rdamedia
338 $aonline resource$bcr$2rdacarrier
500 $a"A Chapman & Hall book" -- title page.
504 $aIncludes bibliographical references and index.
520 $a"Deep Learning: A Comprehensive Guide focuses on all the relevant topics in the field of Deep Learning. Covers the conceptual, mathematical and practical aspects of all relevant topics in deep learning Offers real time practical examples Provides case studies This book is aimed primarily at graduates, researchers and professional working in Deep Learning and AI concepts"--$cProvided by publisher.
545 0 $aDr. 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.
588 $aDescription based on online resource; title from digital title page (viewed on January 05, 2022).
505 0 $aChapter 1 Introduction to Deep Learning -- Chapter 2 The Tools and the Prerequisites -- Chapter 3 Machine Learning: The Fundamentals -- Chapter 4 The Deep Learning Framework -- Chapter 5 CNN - Convolutional Neural Networks: A Complete Understanding -- Chapter 6 CNN Architectures: An Evolution -- Chapter 7 Recurrent Neural Networks -- Chapter 8 Autoencoders -- Chapter 9 Generative Models -- Chapter 10 Transfer Learning -- Chapter 11 Intel OpenVino: A Must-Know Deep Learning Toolkit -- Chapter 12 Interview Questions and Answers -- Index.
650 0 $aDeep learning (Machine learning)
650 7 $aCOMPUTERS / Machine Theory$2bisacsh
650 7 $aCOMPUTERS / Database Management / Data Mining$2bisacsh
650 7 $aDeep learning (Machine learning)$2fast$0(OCoLC)fst02032663
655 0 $aElectronic books.
655 4 $aElectronic books.
700 1 $aPulari, Sini Raj,$eauthor.
700 1 $aVasudevan, Subashri,$eauthor.
776 08 $iPrint version:$aVasudevan, Shriram K.$tDeep learning$bFirst edition.$dBoca Raton : Chapman & Hall/CRC Press, 2022$z9781032028828$w(DLC) 2021031713
856 40 $uhttp://www.columbia.edu/cgi-bin/cul/resolve?clio15830207$zTaylor & Francis eBooks
852 8 $blweb$hEBOOKS