Python Deep Learning
Understand how deep neural networks work and apply them
to real-world tasks
Ivan Vasilev
BIRMINGHAM—MUMBAI
Python Deep Learning
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First published: April 2017
Second edition: January 2019
ird edition: November 2023
Production reference: 1271023
Published by
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ISBN 978-1-83763-850-5
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Contributors
About the author
Ivan Vasilev started working on the rst open source Java deep learning library with GPU support in
2013. e library was acquired by a German company, with whom he continued its development. He
has also worked as a machine learning engineer and researcher in medical image classication and
segmentation with deep neural networks. Since 2017, he has focused on nancial machine learning.
He co-founded an algorithmic trading company, where hes the lead engineer.
He holds an MSc in articial intelligence from Soa University St. Kliment Ohridski and has written
two previous books on the same topic.
About the reviewer
Krishnan Raghavan is an IT professional with over 20+ years of experience in the areas of soware
development and delivery excellence, across multiple domains and technologies, ranging from C++
to Java, Python, Angular, Golang, and data warehousing.
When not working, Krishnan likes to spend time with his wife and daughter, besides reading ction,
nonction, and technical books and participating in hackathons. Krishnan tries to give back to the
community by being part of a GDG, the Pune volunteer group, helping the team to organize events.
You can connect with Krishnan at [email protected] or via LinkedIn
at www.linkedin.com/in/krishnan-Raghavan.
I would like to thank my wife, Anita, and daughter, Ananya, for giving me the time and space to
review this book.
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