Table Of ContentDeep Learning with TensorFlow
Second Edition
Explore neural networks and build intelligent systems
with Python
Giancarlo Zaccone
Md. Rezaul Karim
BIRMINGHAM - MUMBAI
Deep Learning with TensorFlow
Second Edition
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First published: April 2017
Second edition: March 2018
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Contributors
About the authors
Giancarlo Zaccone has over ten years of experience in managing research projects
in scientific and industrial areas.
Giancarlo worked as a researcher at the CNR, the National Research Council of Italy.
As part of his data science and software engineering projects, he gained experience
in numerical computing, parallel computing, and scientific visualization.
Currently, Giancarlo is a senior software and system engineer, based in the
Netherlands. Here he tests and develops software systems for space and defense
applications.
Giancarlo holds a master's degree in Physics from the Federico II of Naples and
a 2nd level postgraduate master course in Scientific Computing from La Sapienza
of Rome.
Giancarlo is the author of the following books: Python Parallel Programminng
Cookbook, Getting Started with TensorFlow, Deep Learning with TensorFlow, all by Packt
Publishing.
You can follow him at https://it.linkedin.com/in/giancarlozaccone.
Md. Rezaul Karim is a research scientist at Fraunhofer FIT, Germany. He is also
pursuing his PhD at the RWTH Aachen University, Aachen, Germany. He holds
BSc and MSc degrees in Computer Science. Before joining Fraunhofer FIT, Rezaul
had been working as a researcher at Insight Centre for Data Analytics, Ireland.
Previously, he worked as a Lead Engineer at Samsung Electronics. He also worked
as a research assistant at Database Lab, Kyung Hee University, Korea and as an R&D
engineer with BMTech21 Worldwide, Korea.
Rezaul has over 9 years of experience in research and development with a solid
understanding of algorithms and data structures in C, C++, Java, Scala, R, and
Python. He has published several research papers and technical articles concerning
Bioinformatics, Semantic Web, Big Data, Machine Learning and Deep Learning using
Spark, Kafka, Docker, Zeppelin, Hadoop, and MapReduce.
Rezaul is also equally competent with (deep) machine learning libraries such as
Spark ML, Keras, Scikit-learn, TensorFlow, DeepLearning4j, MXNet, and H2O.
Moreover, Rezaul is the author of the following books:
Large-Scale Machine Learning with Spark, Deep Learning with TensorFlow, Scala and Spark
for Big Data Analytics, Predictive Analytics with TensorFlow, Scala Machine Learning
Projects, all by Packt Publishing.
Writing this book was made easier by amazing efforts by many
open source communities and documentation about many projects.
Further, I would like to thank a wonderful team at Packt for their
sincere cooperation and coordination. Finally, I appreciate numerous
efforts by the TensorFlow community and all those who have
contributed to APIs, whose work ultimately brought the machine
learning to the masses!
About the reviewers
Motaz Saad holds a PhD in Computer Science from the University of Lorraine.
He loves data and likes to play with it. Motaz has over ten years of professional
experience in NLP, computational linguistics, and data science machine learning.
Motaz currently works as an assistant professor at the faculty of Information
Technology, IUG.
Sefik Ilkin Serengil received his MSc in Computer Science from the Galatasaray
University in 2011.
Sefik has been working as a software developer for a FinTech company since 2010.
Currently, he is a member of the AI team as a data scientist in this company.
Sefik's current research interests are Machine Learning and Cryptography. He has
published several research papers on these topics. Nowadays, he enjoys speaking to
communities about these disciplines.
Sefik has also created several online courses on Machine Learning.
Vihan Jain has made several key contributions to the open-sourced TensorFlow
project. He has been advocating for the adoption of TensorFlow since two years.
Vihan has given tech-talks and has taught tutorials on TensorFlow at various
conferences. His research interests include reinforcement learning, wide and deep
learning, recommendation systems, and machine learning infrastructure. Vihan
graduated from the Indian Institute of Technology, Roorkee, in 2013 with the
President's gold medal.
I express my deepest gratitude to my parents, brother, sister, and my
good friend and mentor, Eugene Ie.
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