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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Beginning Rust Programming
Author: Ric Messier Publisher: Wiley Date: March 2021 Pages: 416 ISBN: 978-1119712978 Print: 1119712971 Kindle: B08WZ2D7WC Audience: Developers wanting to learn Rust Rating: 3 Reviewer: Mike James Everyone seems to want to know what makes Rust special. Does this book give the answers?
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Domain Storytelling (Pearson)
Author: Stefan Hofer Publisher: Pearson Pages: 288 ISBN:978-0137458912 Print:0137458916 Kindle:B099ZNXCJT Audience: software architects Rating: 4.5 Reviewer: Kay Ewbank
This book sets out to be a practical guide to database domains, bringing together domain experts, software developers, designers and bus [ ... ]
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