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An accessible, highly-illustrated introduction to deep learning that offers visual and conceptual explanations instead of equations. You'll learn how to use key deep learning algorithms without the need for complex math. Ever since computers began beating us at chess, they've been getting better at a wide range of human activities, from writing songs and generating news articles to helping doctors provide healthcare. Deep learning is the source of many of these breakthroughs, and its remarkable ability to find patterns hiding in data has made it the fastest growing field in artificial intelligence (AI). Digital assistants on our phones use deep learning to understand and respond intelligently to voice commands; automotive systems use it to safely navigate road hazards; online platforms use it to deliver personalized suggestions for movies and books - the possibilities are endless. Deep Learning: A Visual Approach is for anyone who wants to understand this fascinating field in depth, but without any of the advanced math and programming usually required to grasp its internals. If you want to know how these tools work, and use them yourself, the answers are all within these pages. And, if you're ready to write your own programs, there are also plenty of supplemental Python notebooks in the accompanying Github repository to get you going. The book's conversational style, extensive color illustrations, illuminating analogies, and real-world examples expertly explain the key concepts in deep learning, including: • 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 Intellectual adventurers of all kinds can use the powerful ideas covered in Deep Learning: A Visual Approach to build intelligent systems that help us better understand the world and everyone who lives in it. It's the future of AI, and this book allows you to fully envision it. Review: Very superficial - I was hoping the book would explain or give a visual presentation of the process of calculation for any deep learning problem, however it only shows the end results, something that many books would show as well. I was hoping the attention architecture would be more visual, however it isn't. Review: Outstanding Book! - What a wonderful book to explain deep learning. Andrew does an impressive job of explaining concepts in an intuitive way and fully supported by extensive code to help get upto speed quickly.






| Best Sellers Rank | 771,687 in Books ( See Top 100 in Books ) 1,027 in Introduction to Programming |
| Customer Reviews | 4.7 out of 5 stars 162 Reviews |
Z**B
Very superficial
I was hoping the book would explain or give a visual presentation of the process of calculation for any deep learning problem, however it only shows the end results, something that many books would show as well. I was hoping the attention architecture would be more visual, however it isn't.
D**G
Outstanding Book!
What a wonderful book to explain deep learning. Andrew does an impressive job of explaining concepts in an intuitive way and fully supported by extensive code to help get upto speed quickly.
S**A
Excellent Book with Great Illustrations
Given the tools already available to implement Deep Learning models, this book takes a visual illustrative approach to fast track one into this research field. It contains great figures and excellent examples with intuitive approach to state of the art topics. I am using this book to teach Deep Learning this semester. The companion website is very helpful. The clarity in explanations and very insightful examples make this book a treat to read. This book is unique and indispensable for novice in the area of Deep Learning. Highly Recommended.
I**N
Deep Learning - A Visual Approach
The pages are crumbled and the replacement has scratches covers. Both has black soot stains.
M**H
Best Book Period
If you want to understand core deep learning concepts think no more. This is your brain friendly guide
H**T
Awesome book about all you need to know about deep learning and machine learning
First at all, don't be fooled by the "visual non math approach" which can sound like the book is superficial - which is absolutely not the case. The author goes down in deep details but all the time it is done very descriptive in an easily understandable language. The book works very well to be read from start to end as well as a compendium for looking up concepts and areas of interest. The book itself is in awesome printing quality with thick paper, solid binding and a lot of informative color illustrations (almost one pr page!). Highly recommended for both beginners and advanced users in deep learning and machine learning.
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