Deep Learning

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 guidanceAI 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 LearningAuthored 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 Elephant