Geoffrey Hinton

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Geoffrey Hinton


Born
in Wimbledon, London, The United Kingdom
December 06, 1947

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Geoffrey Hinton FRS is a British-born cognitive psychologist and computer scientist, most noted for his work on artificial neural networks. As of 2015 he divides his time working for Google and University of Toronto. He was one of the first researchers who demonstrated the use of generalized backpropagation algorithm for training multi-layer neural nets and is an important figure in the deep learning community.

His research involves designing 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 that this is how the brain learns to see. He was one of the researchers who introduced the back-propagation algorithm and the first to u
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Average rating: 3.75 · 36 ratings · 3 reviews · 5 distinct works
Unsupervised Learning: Foun...

really liked it 4.00 avg rating — 18 ratings — published 1999 — 3 editions
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Connectionist Symbol Proces...

3.67 avg rating — 6 ratings — published 1991 — 2 editions
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Neural network architecture...

3.60 avg rating — 5 ratings
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Parallel Models of Associat...

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3.50 avg rating — 4 ratings — published 1981 — 10 editions
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Connectionist learning proc...

liked it 3.00 avg rating — 3 ratings
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“The future depends on some graduate student who is deeply suspicious of everything I have said.”
Geoffrey Hinton



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