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Hands-On Neural Networks with TensorFlow 2.0: Understand TensorFlow, from static graph to eager execution, and design neural networks PDF

553 Pages·2019·21.843 MB·English
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Hands-On Neural Networks with TensorFlow 2.0 Understand TensorFlow, from static graph to eager execution, and design neural networks Paolo Galeone BIRMINGHAM - MUMBAI Hands-On Neural Networks with TensorFlow 2.0 Copyright © 2019 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. 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 or its dealers and distributors, will be held liable for any damages caused or alleged to have been 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. Commissioning Editor: Sunith Shetty Acquisition Editor: Yogesh Deokar Content Development Editor: Athikho Sapuni Rishana Senior Editor: Sofi Rogers Technical Editor: Utkarsha S. Kadam Copy Editor: Safis Editing Project Coordinator: Kirti Pisat Proofreader: Safis Editing Indexer: Tejal Daruwale Soni Production Designer: Shraddha Falebhai First published: September 2019 Production reference: 1170919 Published by Packt Publishing Ltd. Livery Place 35 Livery Street Birmingham B3 2PB, UK. ISBN 978-1-78961-555-5 www.packt.com Packt.com Subscribe to our online digital library for full access to over 7,000 books and videos, as well as industry leading tools to help you plan your personal development and advance your career. For more information, please visit our website. Why subscribe? Spend less time learning and more time coding with practical eBooks and Videos from over 4,000 industry professionals Improve your learning with Skill Plans built especially for you Get a free eBook or video every month Fully searchable for easy access to vital information Copy and paste, print, and bookmark content Did you know that Packt offers eBook versions of every book published, with PDF and ePub files available? You can upgrade to the eBook version at and as a print book customer, you are entitled to a discount www.packt.com on the eBook copy. Get in touch with us at for more [email protected] details. At , you can also read a collection of free technical articles, www.packt.com sign up for a range of free newsletters, and receive exclusive discounts and offers on Packt books and eBooks. Contributors About the author Paolo Galeone is a computer engineer with strong practical experience. After getting his MSc degree, he joined the Computer Vision Laboratory at the University of Bologna, Italy, as a research fellow, where he improved his computer vision and machine learning knowledge working on a broad range of research topics. Currently, he leads the Computer Vision and Machine Learning laboratory at ZURU Tech, Italy. In 2019, Google recognized his expertise by awarding him the title of Google Developer Expert (GDE) in Machine Learning. As a GDE, he shares his passion for machine learning and the TensorFlow framework by blogging, speaking at conferences, contributing to open-source projects, and answering questions on Stack Overflow. About the reviewer Luca Massaron is a data scientist, with over 15 years of experience in analytical roles, who interprets big data and transforms it into smart data by means of both the simplest and the most effective data mining and machine learning techniques. He is the author of 10 books on machine learning, deep learning, algorithms, and AI, and is a Google Developer Expert (GDE) in machine learning. My sincerest thanks to my family, Yukiko and Amelia, for their support and loving patience.

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Most books are stored in the elastic cloud where traffic is expensive. For this reason, we have a limit on daily download.