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Deep Learning with Hadoop
Build, implement and scale distributed deep learning models
for large-scale datasets
Dipayan Dev
BIRMINGHAM - MUMBAI
Deep Learning with Hadoop
Copyright © 2017 Packt Publishing
All rights reserved. No part of this book may be reproduced, stored in a retrieval system, or
transmitted in any form or by any means, without the prior written permission of the
publisher, except in the case of brief quotations embedded in critical articles or reviews.
Every effort has been made in the preparation of this book to ensure the accuracy of the
information presented. However, the information contained in this book is sold without
warranty, either express or implied. Neither the author, nor Packt Publishing, and its
dealers and distributors will be held liable for any damages caused or alleged to be caused
directly or indirectly by this book.
Packt Publishing has endeavored to provide trademark information about all of the
companies and products mentioned in this book by the appropriate use of capitals.
However, Packt Publishing cannot guarantee the accuracy of this information.
First published: February 2017
Production reference: 1130217
Published by Packt Publishing Ltd.
Livery Place
35 Livery Street
Birmingham
B3 2PB, UK.
ISBN 978-1-78712-476-9
www.packtpub.com
Credits
Authors
Dipayan Dev
Copy Editor
Safis Editing
Reviewers
Shashwat Shriparv
Wissem EL Khlifi
Project Coordinator
Shweta H Birwatkar
Commissioning Editor
Amey Varangaonkar
Proofreader
Safis Editing
Acquisition Editor
Divya Poojari
Indexer
Mariammal Chettiyar
Content Development Editor
Sumeet Sawant
Graphics
Tania Dutta
Technical Editor
Nilesh Sawakhande
Production Coordinator
Melwyn Dsa
About the Author
Dipayan Dev has completed his M.Tech from National Institute of Technology, Silchar with
a first class first and is currently working as a software professional in Bengaluru, India. He
has extensive knowledge and experience in non-relational database technologies, having
primarily worked with large-scale data over the last few years. His core expertise lies in
Hadoop Framework. During his postgraduation, Dipayan had built an infinite scalable
framework for Hadoop, called Dr. Hadoop, which got published in top-tier SCI-E indexed
journal of Springer (h t t p ://l i n k . s p r i n g e r . c o m /a r t i c l e /10. 1631/F I T E E . 1500015). Dr.
Hadoop has recently been cited by Goo Wikipedia in their Apache Hadoop article. Apart
from that, he registers interest in a wide range of distributed system technologies, such as
Redis, Apache Spark, Elasticsearch, Hive, Pig, Riak, and other NoSQL databases. Dipayan
has also authored various research papers and book chapters, which are published by IEEE
and top-tier Springer Journals. To know more about him, you can also visit his LinkedIn
profile h t t p s ://w w w . l i n k e d i n . c o m /i n /d i p a y a n d e v .
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