Description
Book SynopsisDeep Learning: A Visual Approach helps demystify the algorithms that enable computers to drive cars, win chess tournaments, and create symphonies, while giving readers the tools necessary to build their own systems to help them find the information hiding within their own data, create 'deep dream' artwork, or create new stories in the style of their favorite authors.
Trade Review"Andrew is famous for his ability to teach complex topics that blend mathematics and algorithms, and this work I think is his best yet."
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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.“
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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."
—Thomas Frisendal, author of Graph Data Modeling for NoSQL and SQL"An absolutely amazing book in the field of Machine Learning. Lots of colored visuals make the concepts very easy to understand."
—Nabeel حسن, @nabeelhasan25"This is the best technical book I've ever read. I'm essentially speechless. Thank you, @AndrewGlassner!"
—Maciej Chmielarz, @MaciejChmielarz, Software DeveloperTable of ContentsPart I: Foundational Ideas1. An Overview of Machine Learning Techniques
2. Essential Statistical Ideas
3. Probability
4. Bayes’ Rule
5. Curves and Surfaces
6. Information Theory
Part II: Basic Machine Learning7. Classification
8. Training and Testing
9. Overfitting and Underfitting
10. Data Preparation
11. Classifiers
12. Ensembles
Part III: Deep Learning Basics13. Neural Networks
14. Backpropagation
15. Optimizers
Part IV: Beyond the Basics16. Convolutional Neural Networks
17. Convnets in Practice
18. Recurrent Neural Networks
19. Autoencoders
20. Reinforcement Learning
21. Generative Adversarial Networks
22. Creative Applications
Index
