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by Tomasz Kalinowski, Sigrid Keydana, J.J. Allaire, Francois Chollet
Deep Learning with R, Second Edition
Cover
Title Page
Copyright
Preface
Acknowledgments
About This Book
About the Authors
Chapter 1: What Is Deep Learning?
Chapter 2: The Mathematical Building Blocks of Neural Networks
Chapter 3: Introduction to Keras and Tensorflow
Chapter 4: Getting Started with Neural Networks: Classification and Regression
Chapter 5: Fundamentals of Machine Learning
Chapter 6: The Universal Workflow of Machine Learning
Chapter 7: Working with Keras: A Deep Dive
Chapter 8: Introduction to Deep Learning for Computer Vision
Chapter 9: Advanced Deep Learning for Computer Vision
Chapter 10: Deep Learning for Time Series
Chapter 11: Deep Learning for Text
Chapter 12: Generative Deep Learning
Chapter 13: Best Practices for the Real World
Chapter 14: Conclusions
Appendix: Python Primer for R Users
Index
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