电子书百科大全
Deep Learning: A Visual Approach
Author(s): Andrew Glassner (Author)
- Publisher: No Starch Press
- Publication Date: June 29, 2021
- Edition: Illustrated
- Language: English
- Print length: 768 pages
- ISBN-10: 1718500726
- ISBN-13: 9781718500723
Book Description
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.Full Color Illustrations
Editorial Reviews
Review
—Peter Shirley, Distinguished Research Engineer, Nvidia
“I would recommend that anyone entering this area, or even already familiar with the subject, read it cover-to-cover to firmly ground their understanding.“
—Richard Szeliski, author of Computer Vision: Algorithms and Applications
"This is a comprehensive—yet easy to understand—book about complex concepts and algorithms. Andrew Glassner demonstrates that visualizing concepts as graphs is a tremendous benefit to easy cognition."
"An absolutely amazing book in the field of Machine Learning. Lots of colored visuals make the concepts very easy to understand."
"This is the best technical book I've ever read. I'm essentially speechless. Thank you, @AndrewGlassner!"
About the Author
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