Deep Learning with R

Francois Chollet

ISBN 10: 161729554X / ISBN 13: 9781617295546

Verlag: Manning Publications, 2018

Beschreibung

Item in good condition. Textbooks may not include supplemental items i.e. CDs, access codes etc.

Bestandsnummer des Verkäufers 00083788715

Bibliografische Details

• Titel: Deep Learning with R
• Verlag: Manning Publications
• Erscheinungsjahr: 2018
• Sprache: Englisch
• ISBN-10: 161729554X
• ISBN-13: 9781617295546
• Einband: Softcover
• Zustand: Good

Über diesen Titel

Inhaltsangabe

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

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

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

Über die Autorin bzw. den Autor

François 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.