Deep Learning with Python, Second Edition you own this product

François Chollet
  • October 2021
  • ISBN 9781617296864
  • 504 pages
  • printed in color
  • includes free previous edition eBook
  • Available translations: Complex Chinese, Japanese, Korean, Russian, Simplified Chinese

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Look inside
Printed in full color! Unlock the groundbreaking advances of deep learning with this extensively revised new edition of the bestselling original. Learn directly from the creator of Keras and master practical Python deep learning techniques that are easy to apply in the real world.

In Deep Learning with Python, Second Edition you will learn:

  • Deep learning from first principles
  • Image classification and image segmentation
  • Timeseries forecasting
  • Text classification and machine translation
  • Text generation, neural style transfer, and image generation
  • Printed in full color throughout

Deep Learning with Python has taught thousands of readers how to put the full capabilities of deep learning into action. This extensively revised full color second edition introduces deep learning using Python and Keras, and is loaded with insights for both novice and experienced ML practitioners. You’ll learn practical techniques that are easy to apply in the real world, and important theory for perfecting neural networks.

about the technology

Recent innovations in deep learning unlock exciting new software capabilities like automated language translation, image recognition, and more. Deep learning is quickly becoming essential knowledge for every software developer, and modern tools like Keras and TensorFlow put it within your reach—even if you have no background in mathematics or data science. This book shows you how to get started.

about the book

Deep Learning with Python, Second Edition introduces the field of deep learning using Python and the powerful Keras library. In this revised and expanded new edition, Keras creator François Chollet offers insights for both novice and experienced machine learning practitioners. As you move through this book, you’ll build your understanding through intuitive explanations, crisp color illustrations, and clear examples. You’ll quickly pick up the skills you need to start developing deep-learning applications.

what's inside

  • Deep learning from first principles
  • Image classification and image segmentation
  • Time series forecasting
  • Text classification and machine translation
  • Text generation, neural style transfer, and image generation
  • Printed in full color throughout

about the reader

For readers with intermediate Python skills. No previous experience with Keras, TensorFlow, or machine learning is required.

about the author

François Chollet is a software engineer at Google and creator of the Keras deep-learning library.

Chollet is a master of pedagogy and explains complex concepts with minimal fuss, cutting through the math with practical Python code. He is also an experienced ML researcher and his insights on various model architectures or training tips are a joy to read.

Martin Görner, Google

Immerse yourself into this exciting introduction to the topic with lots of real-world examples. A must-read for every deep learning practitioner.

Sayak Paul, Carted

The modern classic just got better.

Edmon Begoli, Oak Ridge National Laboratory

Truly the bible of deep learning.

Yiannis Paraskevopoulos, University of West Attica

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choose your plan

team

monthly
annual
$49.99
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only $33.33 per month
  • five seats for your team
  • access to all Manning books, MEAPs, liveVideos, liveProjects, and audiobooks!
  • choose another free product every time you renew
  • choose twelve free products per year
  • exclusive 50% discount on all purchases
  • Deep Learning with Python, Second Edition ebook for free