Deep Learning with R (Manning)
Monday, 05 March 2018

Deep Learning with R introduces the world of deep learning using the 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

<ASIN:161729554X>

You'll practice your new skills with R-based applications in computer vision, natural-language processing, and generative models.

Author: Francois Chollet and J.J. Allaire
Publisher: Manning
Date: Feb 2018
Pages: 360
ISBN: 978-1617295546
Print: 161729554X
Audience: R programmers
Level: Intermediate
Category: Artificial Intelligence

 

deepr

 

  • Deep learning from first principles
  • Setting up your own deep-learning environment
  • Image classification and generation
  • Deep learning for text and sequences

 

Reviews of R books

R in 24 Hours

Getting Started with R

Learning R

R Cookbook

The Art of R Programming

 

For more Book Watch just click.

Book Watch is I Programmer's listing of new books and is compiled using publishers' publicity material. It is not to be read as a review where we provide an independent assessment. Some, but by no means all, of the books in Book Watch are eventually reviewed.

To have new titles included in Book Watch contact  BookWatch@i-programmer.info

Follow @bookwatchiprog on Twitter or subscribe to I Programmer's Books RSS feed for each day's new addition to Book Watch and for new reviews.

 

 

Banner
 


SQL Server 2022 Administration Inside Out

Author: Randolph West et al
Publisher: Microsoft Press
Pages: 992
Print: 0137899882
ISBN: 978-0137899883
Kindle: B0C4VKVP27
Audience: DBAs and developers
Rating: 5.0
Reviewer: Ian Stirk

This book aims to update your DBA skills to cover SQL Server 2022, how does it fare?



Data Structures & Algorithms in Python

Author: Dr. John Canning, Alan Broder and Robert Lafore
Publisher: Addison-Wesley
Date: October 2022
Pages: 928
ISBN:978-0134855684
Print: 013485568X
Kindle: B0B1WJF1K9
Audience: Python developers
Rating: 4
Reviewer: Mike James
Data structures in Python - a good idea!


More Reviews