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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