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  1. Geoffrey Hinton. Emeritus Prof. Computer Science, University of Toronto. Verified email at cs.toronto.edu - Homepage. machine learning psychology artificial intelligence cognitive science computer science. Articles 1–20.

  2. This "Cited by" count includes citations to the following articles in Scholar. The ones marked * may be different from the article in the profile. Add co-authors Co-authors

  3. Geoffrey Hinton designs machine learning algorithms. His aim is to discover a learning procedure that is efficient at finding complex structure in large, high-dimensional datasets and to show...

  4. He joined Google in March 2013 when his company, DNNresearch Inc., was acquired, and was at that time planning to "divide his time between his university research and his work at Google". Hinton's research concerns ways of using neural networks for machine learning, memory, perception, and symbol processing.

    • Geoffrey Everest Hinton, 6 December 1947 (age 75), Wimbledon, London, England
  5. 2012. Geoffrey Hinton, Li Deng, Dong Yu, George Dahl, Abdel-rahman Mohamed, Navdeep Jaitly, Andrew Senior, Vincent Vanhoucke, Patrick Nguyen, Tara Sainath, and Brian Kingsbury Deep Neural Networks for Acoustic Modeling in Speech Recognition IEEE Signal Processing Magazine, November 2012 (in press) [ pdf] 2012.

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  7. Jan 24, 2020 · Abstract. Geoffrey Everest Hinton is a pioneer of deep learning, an approach to machine learning which allows computational models that are composed of multiple processing layers to learn representations of data with multiple levels of abstraction, whose numerous theoretical and empirical contributions have earned him the title the Godfather of ...

  8. www.nature.com › articles › nature14539Deep learning | Nature

    May 27, 2015 · Geoffrey Hinton. Nature 521 , 436–444 ( 2015) Cite this article. 944k Accesses. 37k Citations. 1362 Altmetric. Metrics. Deep learning allows computational models that are composed of multiple...

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