Dev Dipayan - Deep Learning With Hadoop. Build, Implement And Scale Distributed Deep Learning Models For Large-Scale Datasets.pdf

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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
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First published: February 2017
Production reference: 1130217
Published by Packt Publishing Ltd.
Livery Place
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Birmingham
B3 2PB, UK.
ISBN 978-1-78712-476-9
www.packtpub.com
Credits
Authors
Dipayan Dev
Reviewers
Shashwat Shriparv
Wissem EL Khlifi
Commissioning Editor
Amey Varangaonkar
Acquisition Editor
Divya Poojari
Content Development Editor
Sumeet Sawant
Technical Editor
Nilesh Sawakhande
Proofreader
Safis Editing
Indexer
Mariammal Chettiyar
Graphics
Tania Dutta
Production Coordinator
Melwyn Dsa
Copy Editor
Safis Editing
Project Coordinator
Shweta H Birwatkar
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 (
http://link.springer.com/article/10.1631/FITEE.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
https://www.linkedin.com/in/dipayandev
.

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