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Deep Learning by Andrew Glassner

Deep Learning

Best Seller
Deep Learning by Andrew Glassner
Paperback $99.99
Jun 29, 2021 | ISBN 9781718500723

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  • Jun 29, 2021 | ISBN 9781718500723

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  • Jun 22, 2021 | ISBN 9781718500730

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Praise

“Andrew is famous for his ability to teach complex topics that blend mathematics and algorithms, and this work I think is his best yet.”
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

Table Of Contents

Part I: Foundational Ideas
1. 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 Learning
7. Classification
8. Training and Testing
9. Overfitting and Underfitting
10. Data Preparation
11. Classifiers
12. Ensembles
Part III: Deep Learning Basics
13. Neural Networks
14. Backpropagation
15. Optimizers
Part IV: Beyond the Basics
16. Convolutional Neural Networks
17. Convnets in Practice
18. Recurrent Neural Networks
19. Autoencoders
20. Reinforcement Learning
21. Generative Adversarial Networks
22. Creative Applications
Index

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