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迁移学习Python实战 Hands on transfer learning with Python

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迁移学习Python实战 Hands on transfer learning with Python

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Hands-On Transfer Learning

with Python

Implement advanced deep learning and neural network

models using TensorFlow and Keras

Dipanjan Sarkar

Raghav Bali

Tamoghna Ghosh

BIRMINGHAM - MUMBAI

Hands-On Transfer Learning with Python

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

authors, 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: Tushar Gupta

Content Development Editor: Unnati Guha

Technical Editor: Sayli Nikalje

Copy Editor: Safis Editing

Project Coordinator: Manthan Patel

Proofreader: Safis Editing

Indexer: Rekha Nair

Graphics: Jisha Chirayil

Production Coordinator: Shantanu Zagade

First published: August 2018

Production reference: 1300818

Published by Packt Publishing Ltd.

Livery Place

35 Livery Street

Birmingham

B3 2PB, UK.

ISBN 978-1-78883-130-7

www.packtpub.com

This book wouldn't have been possible without several people who made this from a mere concept

into reality. I would like to thank my parents, Digbijoy and Sampa, my partner, Durba, my pets,

family, and friends for supporting me constantly in my endeavors. A big thank you to the entire

team at Packt especially Tushar, Sayli, and Unnati for working tirelessly and supporting us

throughout our journey. Also thanks to Matthew Mayo for gracing our book with his foreword and

doing great things with KDnuggets.

Thanks to Adrian Rosebrock and PyImageSearch for some excellent visuals and content around

pretrained models for computer vision, Federico Baldassarre, Diego Gonzalez-Morin, Lucas Rodes-

Guirao, and Emil Wallner for some excellent strategies and implementations for image colorization,

Anurag Mishra for giving tips for build an efficient image captioning model, François Chollet for

building Keras and writing some very useful and engaging content on transfer learning and to the

entire Python AI eco-system for helping the community democratize deep learning and artificial

intelligence for everyone.

Finally, I would like to thank my managers and mentors Gopalan, Sanjeev, and Nagendra and all

my friends and colleagues at Intel for encouraging me and giving me the opportunity to explore new

domains in the world of AI. Shoutout also to the folks from Springboard, especially Srdjan Santic for

not just giving me an opportunity to learn and interact with some amazing people but also for the

passion, zeal, and vision of educating more people on Data Science and AI. Towards Data Science

and Ludovic Benistant thanks for helping me learn and share more about AI to the rest of the world

and helping me explore cutting-edge research and work in these domains. Last but not the least, I

owe a ton of gratitude to my co-authors Raghav and Tamoghna and our reviewer Nitin Panwar for

embarking on this journey with me and without whom this book wouldn't have been possible!

– Dipanjan Sarkar

I would like to take this opportunity to express gratitude to my parents, Sunil and Neeru, my wife,

Swati, my brother, Rajan, family, teachers, friends, colleagues, and mentors who have encouraged,

supported and taught me over the years. I would also like to thank my co-authors and good friends

Dipanjan Sarkar and Tamoghna Ghosh, for taking me along on this amazing journey. A big thanks

to my managers and mentors Vineet, Ravi, and Vamsi along with all my teammates at Optum for

their support and encouragement to explore new domains in the Data Science world.

I would like to thank Tushar Gupta, Aaryaman Singh, Sayli Nikalje, Unnati Guha, and Packt for the

opportunity and their support throughout this journey. This book wouldn't have been complete

without Nitin Panwar's insightful feedback and suggestions. Last but not the least, special thanks to

François Chollet for Keras, the Python ecosystem and community, fellow authors and researchers

who are striving every day to bring these amazing technologies and tools at our fingertips.

– Raghav Bali

I would like to thank entire Packt team for giving me this unique opportunity and also guiding me

throughout the journey. For this book my co-authors here acted as my mentor as well. They helped

me with their insightful suggestions and guidance. Thanks to Nitin for patiently reviewing this book

and providing great feedback. I would like to thank my wife Doyel, my son Anurag, and my parents

for being a constant source of inspiration for me and tolerating me for working extended hours. Also,

I am grateful to my Intel managers for their encouragement and support.

– Tamoghna Ghosh

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