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Deep Learning with R
Deep Learning with R
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Deep Learning with R

J.J. Allaire
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360 pages
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English
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Deep Learning with R

J.J. Allaire
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About This Book

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
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Information

Publisher
Manning Publications
Year
2018
ISBN
9781638351634
Topic
Computer Science
Subtopic
Neural Networks

Table of contents