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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Python All-in-One, 3rd Ed (For Dummies)

Authors: John Shovic and Alan Simpson
Publisher: For Dummies
Date: April 2024
Pages: 720
ISBN: 978-1394236152
Print: 1394236158
Kindle: B0CW1C834N
Audience: People wanting to learn Python
Rating: 2
Reviewer: Mike James
All-in-one refers to the fact that this is seven books put together - why?



SQL Query Design Patterns and Best Practices

Author: Steve Hughes et al
Publisher: Packt Publishing
Pages: 270
ISBN: 978-1837633289
Print: 1837633282
Kindle: B0BWRD7HQ7
Audience: Query writers
Rating: 2.5
Reviewer: Ian Stirk

This book aims to improve your SQL queries using design patterns, how does it fare? 


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