Skip to main content

GANs, GANs, and More GANs

  • Chapter
  • First Online:
Generating a New Reality
  • 1130 Accesses

Abstract

Generative modeling has been around for a few decades, but much of the field didn’t start to recognize itself without the discovery of the generative adversarial network (GAN). There is some debate on when GANs were discovered and by whom. One thing is for certain: Ian Goodfellow and his colleagues from the University of Montreal in 2014 deserve a good deal of credit for reinventing the technique of adversarial learning.

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 54.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 69.99
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

© 2021 Micheal Lanham

About this chapter

Check for updates. Verify currency and authenticity via CrossMark

Cite this chapter

Lanham, M. (2021). GANs, GANs, and More GANs. In: Generating a New Reality . Apress, Berkeley, CA. https://doi.org/10.1007/978-1-4842-7092-9_4

Download citation

Publish with us

Policies and ethics