pdf | 48.66 MB | English | Isbn: 978-1617295546 | Author: François Chollet with Tomasz Kalinowski and J. J. Allaire | Year: 2018
Description:
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 (wwwmanning.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 sequencesAbout 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
Category:Natural Language Processing, Machine Theory, Computer Neural Networks
