This book provides a highly-illustrated introduction to deep learning that offers visual and conceptual explanations instead of equations. Andrew Glassner shows how to use key deep learning algorithms without the need for complex math. For readers ready to write their own programs, there are also plenty of supplemental Python notebooks in the accompanying Github repository.
Author: Andrew Glassner Publisher: No Starch Press Date: July 2021 Pages: 750 ISBN: 978-1718500723 Print: 1718500726 Kindle: B085BVWXNS Audience: Developers interested in deep learning Level: Intermediate Category: Artificial Intelligence
Topics covered:
- How text generators create novel stories and articles
- How deep learning systems learn to play and win at human games
- How image classification systems identify objects or people in a photo
- How to think about probabilities in a way that's useful to everyday life
- How to use the machine learning techniques that form the core of modern AI
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Android Programming: The Big Nerd Ranch Guide (5e)
Authors: Bryan Sills, Brian Gardner, Brian Hardy and Kristin Marsicano Publisher: Addison-Wesley Pages: 688 ISBN: 978-0137645541 Print: 0137645546 Kindle: B09WLF84W7 Audience: Kotlin programmers Rating: 4.5 Reviewer: Mike James
The Big Nerd Ranch Guide to Android is bac [ ... ]
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The Reign of Botnets (Wiley)
Author: David Sénécal Publisher: Wiley Date: July 2024 Pages: 356 ISBN: 978-1394262410 Print: 1394262418 Kindle: B0D1CJR212 Audience: General Rating: 5 Reviewer: Kay Ewbank
This book is subtitled 'Defending against Abuses, Bots and Fraud on the Internet', which is a big and important topic.
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