Deep Learning with R

J.J. Allaire

• Publisher: Manning
• Year: 2018
• Print ISBN: 9781617295546
• eBook ISBN: 9781638351634
• Topic: Ciencia de la computación
• Subtopic: Ciencias computacionales general

Summary Deep Learning with R introduces the world of deep learning using the powerful Keras library and its R language interface. The book builds your understanding of deep learning through intuitive explanations and practical examples. Continue your journey into the world of deep learning with Deep Learning with R in Motion, a practical, hands-on video course available exclusively at Manning.com (www.manning.com/livevideo/deep-?learning-with-r-in-motion).Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications. About the Technology Machine learning has made remarkable progress in recent years. Deep-learning systems now enable previously impossible smart applications, revolutionizing image recognition and natural-language processing, and identifying complex patterns in data. The Keras deep-learning library provides data scientists and developers working in R a state-of-the-art toolset for tackling deep-learning tasks. About the Book 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. What's Inside

• Deep learning from first principles
• Setting up your own deep-learning environment
• Image classification and generation
• Deep learning for text and sequences

About the Reader You'll need intermediate R programming skills. No previous experience with machine learning or deep learning is assumed. About the Authors François Chollet is a deep-learning researcher at Google and the author of the Keras library. J.J. Allaire is the founder of RStudio and the author of the R interfaces to TensorFlow and Keras. Table of Contents

PART 1 - FUNDAMENTALS OF DEEP LEARNING

• What is deep learning?
• Before we begin: the mathematical building blocks of neural networks
• Getting started with neural networks
• Fundamentals of machine learning

PART 2 - DEEP LEARNING IN PRACTICE

• Deep learning for computer vision
• Deep learning for text and sequences
• Advanced deep-learning best practices
• Generative deep learning
• Conclusions

Table of contents

• 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
• Part 2. Deep learning in practice
• 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