Skip to main content

Deep Learning Using PySpark

  • Chapter
  • First Online:
Learn PySpark

Abstract

Deep learning has been in the limelight for quite a few years and is making leaps and bounds in terms of solving various business challenges. From image language translation to self-driving cars, deep learning has become an important component in the larger scheme of things. There is no denying the fact that lots of companies today are betting heavily on deep learning, as a majority of their applications run using deep learning in the back end. For example, Google’s Gmail, YouTube, Search, Maps, and Assistance all use deep learning in some form or other. The reason is deep learning’s incredible ability to provide far better results, compared to some other machine learning algorithms.

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 39.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 54.99
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

© 2019 Pramod Singh

About this chapter

Check for updates. Verify currency and authenticity via CrossMark

Cite this chapter

Singh, P. (2019). Deep Learning Using PySpark. In: Learn PySpark. Apress, Berkeley, CA. https://doi.org/10.1007/978-1-4842-4961-1_8

Download citation

Publish with us

Policies and ethics