Deep Learning with PyTorch (Manning)
Wednesday, 26 August 2020

This book shows how to use PyTorch for deep learning projects.  Authors.Eli Stevens, Luca Antiga and Thomas Viehmann show how to create neural networks and deep learning systems with PyTorch. This practical book quickly gets you to work building a real-world example from scratch: a tumor image classifier. Along the way, it covers best practices for the entire DL pipeline, including the PyTorch Tensor API, loading data in Python, monitoring training, and visualizing results. After covering the basics, the book moves on to larger projects, and the centerpiece of the book is a neural network designed for cancer detection.

<ASIN:1617295264>

 

Author: Eli Stevens, Luca Antiga and Thomas Viehmann
Publisher: Manning
Date: August 2020
Pages: 520
ISBN: 978-617295263
Print: 1617295264
Audience: Python developers
Level: Intermediate
Category: Python and Artificial Intelligence

pytorchdeep

 

  • Training deep neural networks
  • Implementing modules and loss functions
  • Utilizing pretrained models from PyTorch Hub
  • Exploring code samples in Jupyter Notebooks

 

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

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PHP In Easy Steps, 4th Ed

Author: Mike McGrath
Publisher: In Easy Steps
Date: April 2021
Pages: 192
ISBN: 978-1840789232
Print: 1840789239
Kindle: B08ZSV3MNH
Audience: People wanting to learn PHP
Rating: 4
Reviewer: Ian Elliot
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SQL Server 2022 Administration Inside Out

Author: Randolph West et al
Publisher: Microsoft Press
Pages: 992
Print: 0137899882
ISBN: 978-0137899883
Kindle: B0C4VKVP27
Audience: DBAs and developers
Rating: 5.0
Reviewer: Ian Stirk

This book aims to update your DBA skills to cover SQL Server 2022, how does it fare?


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