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Deep learning with R / François Chollet ; with J.J. Allaire.
- Format:
- Book
- Author/Creator:
- Chollet, François, author.
- Language:
- English
- Subjects (All):
- R (Computer program language).
- Artificial intelligence.
- Neural networks (Computer science).
- Machine learning--Technological innovations.
- Machine learning.
- Mathematical statistics--Data processing.
- Mathematical statistics.
- Computer vision.
- Physical Description:
- 1 online resource
- Place of Publication:
- Shelter Island, New York : Manning Publications, [2018]
- System Details:
- text file
- Summary:
- Deep Learning with R introduces the world of deep learning using the powerful Keras library and its R language interface. Initially written for Python as Deep Learning with Python by Keras creator and Google AI researcher François Chollet and adapted for R by RStudio founder J. J. Allaire, this book builds your understanding of deep learning through intuitive explanations and practical examples. You'll practice your new skills with R-based applications in computer vision, natural-language processing, and generative models.
- Contents:
- Intro
- Copyright
- Brief Table of Contents
- Table of Contents
- Preface
- Acknowledgments
- About This Book
- About the Authors
- About the Cover
- Part 1. Fundamentals of deep learning
- Chapter 1. What is deep learning?
- Chapter 2. Before we begin: the mathematical building blocks of neural networks
- Chapter 3. Getting started with neural networks
- Chapter 4. Fundamentals of machine learning
- Part 2. Deep learning in practice
- Chapter 5. Deep learning for computer vision
- Chapter 6. Deep learning for text and sequences
- Chapter 7. Advanced deep-learning best practices
- Chapter 8. Generative deep learning
- Chapter 9. Conclusions
- Appendix A. Installing Keras and its dependencies on Ubuntu
- Appendix B. Running RStudio Server on an EC2 GPU instance
- Index
- List of Figures
- List of Tables
- List of Listings.
- Notes:
- Includes index.
- Description based on print version record.
- Includes bibliographical references and index.
- ISBN:
- 9781638351634
- 1638351635
- 9781617295546
- 161729554X
- OCLC:
- 1027223423
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