Deep Learning
Chapman & Hall/CRC (Verlag)
978-1-032-02882-8 (ISBN)
Deep Learning: A Comprehensive Guide provides comprehensive coverage of Deep Learning (DL) and Machine Learning (ML) concepts. DL and ML are the most sought-after domains, requiring 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 with the basics of neural networks, and continuing through the architecture of various types of CNNs, RNNs, LSTM, and more till the end of the book, each and every topic is given the utmost care and shaped professionally and comprehensively.
Key Features
Includes the smooth transition from ML concepts to DL concepts
Line-by-line explanations have 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 reader’s understanding
Includes references to the related YouTube videos that provide additional guidance
AI is a domain for everyone. This book is targeted toward everyone irrespective of their field of specialization. Graduates and researchers in deep learning will find this book useful.
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.
1. Introduction to Deep Learning. 2. The Tools and Prerequisites. 3. Machine Learning: The Fundamentals 4. The Deep Learning Framework. 5. CNN– Convolutional Neural Networks – A Complete Understanding. 6. CNN Architectures – An Evolution 7. Recurrent Neural Networks. 8. Autoencoders. 9. Generative Models. 10. Transfer Learning. 11. Intel OpenVino – A Must Know Deep Learning Toolkit. 12. Interview Questions and Answers.
| Erscheinungsdatum | 22.12.2021 |
|---|---|
| Zusatzinfo | 19 Tables, black and white; 178 Line drawings, black and white; 83 Halftones, black and white; 261 Illustrations, black and white |
| Sprache | englisch |
| Maße | 156 x 234 mm |
| Gewicht | 562 g |
| Themenwelt | Mathematik / Informatik ► Informatik ► Datenbanken |
| Informatik ► Theorie / Studium ► Künstliche Intelligenz / Robotik | |
| Technik ► Elektrotechnik / Energietechnik | |
| Technik ► Umwelttechnik / Biotechnologie | |
| ISBN-10 | 1-032-02882-3 / 1032028823 |
| ISBN-13 | 978-1-032-02882-8 / 9781032028828 |
| Zustand | Neuware |
| Informationen gemäß Produktsicherheitsverordnung (GPSR) | |
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