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Deep Learning with Hadoop 无水印原版pdf

Deep

Learning

Hadoop

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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

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 .