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  1. Geoffrey Everest Hinton CC FRS FRSC (born 6 December 1947) is a British-Canadian cognitive psychologist and computer scientist, most noted for his work on artificial neural networks. Since 2013, he has divided his time working for Google ( Google Brain ) and the University of Toronto .

  2. Geoffrey Hinton : index. Department of Computer Science : email: geoffrey [dot] hinton [at] gmail [dot] com : University of Toronto : voice: send email: 6 King's College Rd.

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

    May 27, 2015 · Deep learning allows computational models that are composed of multiple processing layers to learn representations of data with multiple levels of abstraction. These methods have dramatically ...

  4. Oct 26, 2017 · arXiv.org e-Print archive

  5. We trained a large, deep convolutional neural network to classify the 1.2 million high-resolution images in the ImageNet LSVRC-2010 contest into the 1000 different classes.

  6. Department of Computer Science, University of Toronto

  7. In the first course of the Deep Learning Specialization, you will study the foundational concept of neural networks and deep learning. By the end, you will be familiar with the significant technological trends driving the rise of deep learning; build, train, and apply fully connected deep neural networks; implement efficient (vectorized) neural networks; identify key parameters in a neural ...

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