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Deep Learning with R

Deep Learning with R

Deep Learning with R
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Deep Learning with R Paperback - 2018

by Francois Chollet; J. J. Allaire (With)

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Manning. Used - Good. Good condition. A copy that has been read but remains intact. May contain markings such as bookplates, stamps, limited notes and highlighting, or a few light stains.
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Details

  • Title Deep Learning with R
  • Author Francois Chollet; J. J. Allaire (With)
  • Binding Paperback
  • Condition Used - Good
  • Pages 360
  • Volumes 1
  • Language ENG
  • Publisher Manning
  • Publication date 2018-02-09
  • Features Bibliography, Index
  • Bookseller's Inventory # D01E-01010
  • ISBN 9781617295546 / 161729554X
  • Weight 1.4 lbs (0.64 kg)
  • Dimensions 9.2 x 7.3 x 0.7 in (23.37 x 18.54 x 1.78 cm)
  • Category Computers - Communications / Networking
  • Library of Congress subjects Artificial intelligence, Neural networks (Computer science)
  • Library of Congress Catalogue Number 2018285360
  • Dewey Decimal Code 005.133

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From the publisher

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 Franois 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

Franois 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
  1. What is deep learning?
  2. Before we begin: the mathematical building blocks of neural networks
  3. Getting started with neural networks
  4. Fundamentals of machine learning
    5. PART 2 - DEEP LEARNING IN PRACTICE
  5. Deep learning for computer vision
  6. Deep learning for text and sequences
  7. Advanced deep-learning best practices
  8. Generative deep learning
  9. Conclusions

About the author

Franois Chollet is a software engineer at Google and creator of Keras.

J.J. Allaire is the Founder of RStudio and the creator of the RStudio IDE. J.J. is the author of the R interfaces to TensorFlow and Keras.

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