HintonBrian Kingsbury: Visualizing Similarity Data with a Mixture of Maps. He has compared effects of brain damage with effects of losses in such a net, and found striking similarities with human impairment, such as for recognition of names and losses of categorization. TrojeGeoffrey E. Canadian computer scientist and psychologist. Understanding how Deep Belief Networks perform acoustic modelling. HintonSteven L. But the truth is that the prospect of discovery is too sweet. Since he has been working half-time for Google in Mountain View and Toronto. Navdeep JaitlyGeoffrey E. The New York Times. From until he was the director of the program on "Neural Computation and Adaptive Perception" which is funded by the Canadian Institute for Advanced Research. TaylorNikolaus F. Their combined citations are counted only for the first article. Visualizing non-metric similarities in multiple maps. DahlBhuvana RamabhadranGeoffrey E. Department of Computer Science, University of Toronto. HintonYann LeCun: He is viewed by some as a leading figure in the deep learning community and is referred to by some as the "Godfather of Deep Learning". Get my own profile Cited by View all All Since Citations h-index iindex Phone recognition using Restricted Boltzmann Machines. HintonYee Whye Teh: Rumelhart and Ronald J. Deep neural networks for acoustic modeling in speech recognition: By using this site, you agree to the Terms of Use and Privacy Policy. New articles by this author. Modeling the joint density of two images under a variety of transformations. Since he has been working half-time for Google in Mountain View and Toronto. Restricted Boltzmann machines for collaborative filtering. Retrieved 30 January RichardsLuke MarrisGeoffrey E. HintonGerald Penn: Alex KrizhevskyGeoffrey E. Implicit Mixtures of Restricted Boltzmann Machines. The Journal of Machine Learning Research 15 1, Email address for updates. Where Do Features Come From? Fellows of the Royal Society elected in Zero-shot Learning with Semantic Output Codes. Articles Cited by Co-authors. WilliamsHinton was co-author of a highly cited paper that applied the backpropagation algorithm developed by Seppo Linnainmaato multi-layer neural networks [14]but did not cite the inventor of the method. Neural Computation 20 Using matrices to model symbolic relationship. Using very deep autoencoders for content-based image retrieval. ZemelSteven L. Reducing the dimensionality of data with neural networks GE Hinton, RR Salakhutdinov science,

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Canadian computer scientist and psychologist. One or more of the preceding sentences incorporates text from the royalsociety. HintonJeff Dean: TaylorGeoffrey E. Retrieved 13 March Retrieved July 7, Neural Computation 20 Machine Learning 87 1: This page was last edited on 27 Decemberat International Journal of Computer Vision 1: He spent three years from until setting up the Gatsby Computational Neuroscience Unit at University College London and then returned to the University of Toronto where he is now an emeritus distinguished professor. TrojeGeoffrey E. Who's Who online Oxford University Press ed. SainathGeorge E. Nicolas HeessChristopher K. Hinton taught a free online course on Neural Networks on the education platform Coursera in Improving a statistical language model through non-linear prediction. New articles by this author. Reducing the dimensionality of data with neural networks GE Hinton, RR Salakhutdinov science, LeNavdeep JaitlyGeoffrey E. WilliamsGeoffrey E. TaylorLeonid SigalDavid J. Neural Networks 15 4: HintonAlex KrizhevskySida D. Ilya SutskeverGeoffrey E. Machine learning Neural networks Artificial intelligence Cognitive science Object recognition [2]. Neural Computation 18 7: Binary coding of speech spectrograms using a deep auto-encoder. Encyclopedia of Machine Learning Restricted Boltzmann machines for collaborative filtering. Retrieved 13 March Retrieved 5 October TrojeGeoffrey E. Retrieved 20 December On Contrastive Divergence Learning. Fellows of the Royal Society elected in What kind of graphical model is the brain? HintonVinod Nair:

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