Deep Learning with Python, 2nd Ed (Manning)
Wednesday, 05 January 2022

This book shows 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 François Chollet, creator of Keras, provides 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.

<ASIN:‎1617296864>

Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications

Author: François Chollet
Publisher: Manning
Date: December 2021
Pages: 504
ISBN: 978-1617296864
Print: 1617296864
Kindle: B09KJXK752
Audience: Python developers interested in machine learning
Level: Intermediate/Advanced
Category: Python and Artificial Intelligence

Topics covered:

  • 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
  • Full color printing throughout

For recommendations of Python books see Books for Pythonistas and Python Books For Beginners in our Programmer's Bookshelf section.

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Publisher: Addison-Wesley
Date: February 2022
Pages: 352
ISBN: 978-0137579938
Print: 0137579934
Kindle: B09D2RKQB5
Audience: Python developers
Rating: 1
Reviewer: Mike James
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Author:  Sinan Ozdemir
Publisher:  Addison-Wesley
Pages: 288
ISBN: 978-0138199197
Print: 0138199191
Kindle: B0CCTZMFWF
Audience: LLM Beginners
Rating: 5
Reviewer: Mike James
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