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.
<ASIN:1718500726>
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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Zombie Scrum Survival Guide (Addison-Wesley)
Author: Christiaan Verwijs, Johannes Schartau and Barry Overeem Publisher: Addison-Wesley Professional Date: November 2020 Pages: 200 ISBN: 978-0136523260 Print: 0136523269 Kindle: B08F5GY39V Audience: Scrum developers Rating: 5 Reviewer: Kay Ewbank
The idea behind this book is a fascinating [ ... ]
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Programming Kotlin Applications (Wrox)
Author: Brett McLaughlin Publisher: Wrox/Wiley Pages: 384 ISBN: 978-1119696186 Print: 1119696186 Kindle: B08QCK4982 Audience: Beginning Kotlin Programmers. Rating: 3 Reviewer: Alex Armstrong
Kotlin applications - what applications in particular?
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