Ian Goodfellow

Ian Goodfellow
Born1987[1]
NationalityAmerican
Alma materStanford University
Université de Montréal
Known forGenerative adversarial networks, Adversarial examples
Scientific career
FieldsComputer science
InstitutionsApple Inc.
Google Brain
OpenAI
DeepMind
Google DeepMind
ThesisDeep Learning of Representations and its Application to Computer Vision (2014)
Doctoral advisorYoshua Bengio
Aaron Courville
Websitewww.iangoodfellow.com

Ian J. Goodfellow (born 1987[1]) is an American computer scientist, engineer, and executive, most noted for his work on artificial neural networks and deep learning. He was previously employed as a research scientist at Google Brain and director of machine learning at Apple and has made several important contributions to the field of deep learning including the invention of the generative adversarial network (GAN). Goodfellow co-wrote, as the first author, the textbook Deep Learning (2016)[2] and wrote the chapter on deep learning in the authoritative textbook of the field of artificial intelligence, Artificial Intelligence: A Modern Approach[3][4] (used in more than 1,500 universities in 135 countries).[5]

  1. ^ a b "Katalog der Deutschen Nationalbibliothek". portal.dnb.de.
  2. ^ Goodfellow, Ian; Bengio, Yoshua; Courville, Aaron (2016). Deep Learning. Cambridge, Massachusetts: MIT Press.
  3. ^ "Artificial Intelligence: A Modern Approach - The Definitive AI Book". How to Learn Machine Learning. 2020. Retrieved 19 December 2022.
  4. ^ Goodfellow, Ian (28 April 2020). "Chapter 21: Deep Learning". Artificial intelligence : a modern approach (PDF). By Russell, Stuart J.; Norvig, Peter (Fourth ed.). Hoboken, NJ: Pearson. ISBN 978-0134610993.
  5. ^ "Nobel Week Dialogue". NobelPrize.org. Retrieved 19 December 2022.

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