
Deep Learning with R
Joseph Allaire(Author)
Manning Publications (Publisher)
Published on 12. April 2018
Book
Paperback/Softback
360 pages
978-1-61729-554-6 (ISBN)
Shipment within 10-20 days
Description
Description
Artificial intelligence has made some incredible leaps. Deep learning systems now deliver near-human speech and image recognition, not to mention machines capable of beating world champion Go masters. Deep learning applies to a widening range of problems, such as question answering, machine translation, and optical character recognition. It's behind photo tagging, self-driving cars, virtual assistants and other previously impossible applications.
Deep Learning with R is for developers and data scientists with some R experience who want to use deep learning to solve real-world problems. The book is structured around a series of practical examples that introduce each new concept and demonstrate best practices. You'll begin by learning what deep learning is, how it connects with AI and Machine Learning, and why it's rapidly gaining in importance right now. You'll then dive into practical applications of computer vision, natural language processing, and more.
Key features
? Understand key machine learning concepts
? Set up a computer environment for deep learning
? Visualize neural networks
? Use recurrent neural networks for text and sequence Classification
Audience
You'll need intermediate R programming skills. No previous experience with machine learning or deep learning is required.
About the technology
Although deep learning can be a challenging subject, new technologies make it much easier to get started than ever before. The Keras deep learning library featured in this book puts ease of use and accessibility front and center, making it a great fit for new practitioners.
Artificial intelligence has made some incredible leaps. Deep learning systems now deliver near-human speech and image recognition, not to mention machines capable of beating world champion Go masters. Deep learning applies to a widening range of problems, such as question answering, machine translation, and optical character recognition. It's behind photo tagging, self-driving cars, virtual assistants and other previously impossible applications.
Deep Learning with R is for developers and data scientists with some R experience who want to use deep learning to solve real-world problems. The book is structured around a series of practical examples that introduce each new concept and demonstrate best practices. You'll begin by learning what deep learning is, how it connects with AI and Machine Learning, and why it's rapidly gaining in importance right now. You'll then dive into practical applications of computer vision, natural language processing, and more.
Key features
? Understand key machine learning concepts
? Set up a computer environment for deep learning
? Visualize neural networks
? Use recurrent neural networks for text and sequence Classification
Audience
You'll need intermediate R programming skills. No previous experience with machine learning or deep learning is required.
About the technology
Although deep learning can be a challenging subject, new technologies make it much easier to get started than ever before. The Keras deep learning library featured in this book puts ease of use and accessibility front and center, making it a great fit for new practitioners.
More details
Language
English
Place of publication
New York
United States
Target group
College/higher education
Product notice
Paperback (trade)
Unsewn / adhesive bound
Dimensions
Height: 233 mm
Width: 184 mm
Thickness: 27 mm
Weight
666 gr
ISBN-13
978-1-61729-554-6 (9781617295546)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Classification
Other editions
New editions

Francois Chollet | Tomasz Kalinowski | Joseph Allaire
Deep Learning with R, Second Edition
Book
08/2022
2nd Edition
Manning Publications
€56.00
Shipment within 3-4 weeks
Additional editions

François Chollet
Deep Learning with R
E-Book
01/2018
1st Edition
Manning;Pearson Professional
€38.56
Available for download
Person
Francois Chollet is a deep learning researcher at Google and the author of the Keras deep learning library. He blogs about deep learning at blog.keras.io.
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.
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.