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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Object-Oriented Python

Author: Irv Kalb
Publisher: No Starch Press
Date: January 2022
Pages: 416
ISBN: 978-1718502062
Print: 1718502060
Kindle: ‎ B0957SHYQL
Audience: Python developers
Rating: 3
Reviewer: Mike James
Python, Object-Oriented? Not a lot of programmers know that!



The AWK Programming Language, 2nd Ed

Author: Alfred V. Aho, Brian W. Kernighan and Peter J. Weinberger
Publisher: Addison-Wesley
Pages: 240
ISBN: 978-0138269722
Print: 0138269726
Kindle: B0CCJ1N4X3
Audience: Developers interested in Awk
Rating: 5
Reviewer: Kay Ewbank

The name Brian Kernighan among the authors of this updated classic raises  [ ... ]


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