Deep Learning with TensorFlow and Keras
Third Edition
Build and deploy supervised, unsupervised, deep, and reinforcement learning models
Deep Learning with TensorFlow and Keras
Third Edition
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First published: April 2017
Second edition: December 2019
Third edition: October 2022
Production reference: 1300922
Published by Packt Publishing Ltd.
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ISBN 978-1-80323-291-1
Foreword
Approachable, well-written, with a great balance between theory and practice. A very enjoyable introduction to machine learning for software developers.
François Chollet,
Creator of Keras
Contributors
About the authors
taught and supervised research in the field of neural networks and artificial intelligence for 20+ years as an Associate Professor at the University of Delhi. At present, she works as an independent AI consultant and provides her expertise to various organizations working in the field of AI and EdTech.
First and foremost, I am thankful to the readers of this book. It is your encouragement via messages and emails that motivate me to give my best. I am extremely thankful to my co-authors, Antonio Gulli and Sujit Pal, for sharing their vast experience with me in writing this book. I am thankful to the entire Packt team for the effort they put in since the inception of this book and the reviewers who painstakingly went through the content and verified the code; their comments and suggestions helped improve the book.
Last but not the least, I am thankful to my teachers for their faith in me, my colleagues at the University of Delhi for their love and support, my friends for continuously motivating me, and my family members for their patience and love.
A part of the royalties of the book are donated.
has a passion for establishing and managing global technological talent for innovation and execution. His core expertise is in cloud computing, deep learning, and search engines. Currently, Antonio works for Google in the Cloud Office of the CTO in Zurich, working on Search, Cloud Infra, Sovereignty, and Conversational AI. Previously, he served as a founding member of the Office of the CTO in the EMEA. Earlier on, he served as Google Warsaw Site Director Leader, growing the site to 450+ engineers fully focused on cloud managing teams in GCE, Kubernetes, Serverless, Borg, and Console.
So far, Antonio has been lucky enough to gain professional experience in five countries in Europe and to manage teams in six countries in EMEA and the U.S:
- In Amsterdam, as Vice President for Elsevier, a leading scientific publisher.
- In London, as Principal Engineer for Bing Search, Microsoft.
- In Italy and the U.K, as CTO, Europe for Ask.com.
- In Poland, the U.K, and Switzerland with Google.
Antonio has co-invented a number of technologies for search, smart energy, and AI with 11 patents issued (21 applied) and published several books on coding and machine learning also translated into Japanese and Chinese. He speaks Spanish, English, and Italian and is currently learning Polish and French. Antonio is a proud father of Two boys, Lorenzo, 21 and Leonardo, 16, and a little queen, Aurora, 11.
I want to thank my sons, Lorenzo and Leonardo, and my daughter, Aurora, for being the motivation behind my perseverance. Also, I want to thank my partner, Nina, for being the North Star of my life in recent years.
is a Technology Research Director at Elsevier Labs, an advanced technology group within the Reed-Elsevier Group of companies. His interests include semantic search, natural language processing, machine learning, and deep learning. At Elsevier, he has worked on several initiatives involving search quality measurement and improvement, image classification and duplicate detection, and annotation and ontology development for medical and scientific corpora.
About the reviewer
is a seasoned data science professional with over a decade’s experience in the research and development of large-scale solutions in finance, digital experience, IT infrastructure, and healthcare for giants such as Intel, American Express, UnitedHealth Group, and Delivery Hero. He is an innovator with 7+ patents, a published author of multiple well-received books (including Hands-On Transfer Learning with Python), has peer reviewed papers, and is a regular speaker in leading conferences on topics in the areas of machine learning, deep learning, computer vision, NLP, generative models, and augmented reality.
I would like to take this opportunity to congratulate the authors on yet another amazing book. Thanks to Packt for bringing me on board as a reviewer for this book, particularly Namrata, Saby, and Tushar for all their support and assistance and for being so receptive throughout the review process. And finally, I’d like to thank my wife, family, and colleagues for all the support and patience.
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