Md. Rezaul Karim - Deep Learning with TensorFlow
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- Book:Deep Learning with TensorFlow
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Copyright 2018 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.
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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.
Acquisition Editors: Ben Renow-Clarke, Suresh Jain
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First published: April 2017
Second edition: March 2018
Production reference: 1290318
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ISBN 978-1-78883-110-9
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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!
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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