Skip to main content

Deep Learning

  • Chapter
  • First Online:
An Introduction to Statistical Learning

Part of the book series: Springer Texts in Statistics ((STS))

Abstract

This chapter covers the important topic of deep learning. At the time of writing (2020), deep learning is a very active area of research in the machine learning and artificial intelligence communities.

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

Access this chapter

eBook
USD 16.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 64.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD 99.99
Price excludes VAT (USA)
  • Durable hardcover 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

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Gareth James .

Rights and permissions

Reprints and permissions

Copyright information

© 2021 Springer Science+Business Media, LLC, part of Springer Nature

About this chapter

Check for updates. Verify currency and authenticity via CrossMark

Cite this chapter

James, G., Witten, D., Hastie, T., Tibshirani, R. (2021). Deep Learning. In: An Introduction to Statistical Learning. Springer Texts in Statistics. Springer, New York, NY. https://doi.org/10.1007/978-1-0716-1418-1_10

Download citation

Publish with us

Policies and ethics