Skip to main content

Deep Learning and Other Example Problems

  • Chapter
  • First Online:
Book cover Introduction to Deep Learning Using R
  • 8557 Accesses

Abstract

Now that I’ve sufficiently covered how to use and apply machine learning concepts, we should finally dive into applying and coding deep learning models using R. This can seem like a daunting task, but don’t be intimidated. If you have been able to code everything successfully in this book, it’s just a matter of adjusting to new packages. We will discuss a variety of deep learning examples, but will begin by dealing with simpler models and then eventually going on to more complex models. The purpose of these exercises is twofold:

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 44.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 59.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Author information

Authors and Affiliations

Authors

Rights and permissions

Reprints and permissions

Copyright information

© 2017 Taweh Beysolow II

About this chapter

Cite this chapter

Beysolow II, T. (2017). Deep Learning and Other Example Problems. In: Introduction to Deep Learning Using R. Apress, Berkeley, CA. https://doi.org/10.1007/978-1-4842-2734-3_11

Download citation

Publish with us

Policies and ethics