Introduction to deep learning using R : a step-by-step guide to learning and implementing deep learning models using R

The abundance of data and demand for superior products/services have driven the development of advanced computer science techniques, among them image and speech recognition. Introduction to Deep Learning Using R provides a theoretical and practical understanding of the models that perform these task...

Full description

Saved in:
Bibliographic Details
Main Author Beysolow II, Taweh (Author)
Format Electronic eBook
LanguageEnglish
Published [Place of publication not identified] : Apress®, [2017]
Subjects
Machine learning.
R (Computer program language)
Big data.
Programming languages (Electronic computers)
elektronické knihy
electronic books
Online AccessFull text
ISBN9781484227343
9781484227336
Physical Description1 online resource (xix, 227 pages)

Cover

Table of Contents:
  • Introduction to deep learning
  • Mathematical review
  • A review of optimization and machine learning
  • Single and multilayer perceptron models
  • Convolutional neural networks (CNNs)
  • Recurrent neural networks (RNNs)
  • Autoencoders, restricted boltzmann machines, and deep belief networks
  • Experimental design and heuristics
  • Hardware and software suggestions
  • Machine learning example problems
  • Deep learning and other example problems
  • Closing statements.

Similar Items