Shriram K Vasudevan, Sini Raj Pulari, Subashri Vasudevan

Deep Learning (eBook, ePUB)

A Comprehensive Guide

• Format: ePub

Produktbeschreibung

This book focuses on all the relevant topics of Deep Learning. It covers the conceptual, mathematical and practical aspects of deep learning & offers real time practical examples & case studies. It is aimed primarily at graduates, researchers and professionals working in Deep Learning.

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Produktdetails

• Verlag: Taylor & Francis
• Seitenzahl: 306
• Erscheinungstermin: 24. Dezember 2021
• Englisch
• ISBN-13: 9781000481884
• Artikelnr.: 63128316

Autorenporträt

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.

Inhaltsangabe

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.