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A fast learning algorithm for deep belief nets. Neural Computation, 18, pp 1527-1554. Movies of the neural network generating and recognizing digits. Hinton, G. E. and Salakhutdinov, R. R. (2006) Reducing the dimensionality of data with neural networks. Science, Vol. 313. no. 5786, pp. 504 - 507, 28 July 2006. [full paper ] [supporting online ...
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AT&T Bell Labs (2 day), 1988Apple (1 day), 1990Digital Equipment Corporation (2 day), 1990Government of Canada (2 day), 1994A two-day intensive Tutorial on Advanced Learning Methods. Presented by Geoffrey Hinton and Michael Jordan Boston (Dec 1996); Los Angeles (Apr 1997); Washington (May 1997)Gatsby Computational Neuroscience Unit, University College London 1999 (4.5 hours)University College London, July 2009 (3 hours)Cambridge Machine Learning Summer School, September 2009 (3 hours)Technology Transfer Institute. 3 day tutorials presented in LosAngeles, Washington and San Francisco in 1988Ontario Information Technology Research Center (2 day), annually from 1988-1997American Association for Artificial Intelligence (half-day),1987, 1988, 1990International Joint Conference on Neural Networks (1 hour), 1990Neural Information Processing Systems Conference (2 hours), 1995Neural Information Processing Systems Conference (2 hours), 2007Learn about artificial neural networks and how they're being used for machine learning, as applied to speech and object recognition, image segmentation, mode...
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Hinton is viewed as a leading figure in the deep learning community. The dramatic image-recognition milestone of the AlexNet designed in collaboration with his students Alex Krizhevsky and Ilya Sutskever for the ImageNet challenge 2012 was a breakthrough in the field of computer vision.
New types of deep neural network learning for speech recognition and related applications: an overview Li Deng, Geoffrey E. Hinton, Brian Kingsbury ICASSP (2013), pp. 8599-8603 On the importance of initialization and momentum in deep learning
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