ImageNet Classification with Deep Convolutional Neural Networks
ImageNet Classification with Deep Convolutional Neural Networks Alex Krizhevsky University of Toronto kriz@cs.utoronto.ca Ilya Sutskever University of Toronto ilya@cs.utoronto.ca Geoffrey E. Hinton University of Toronto hinton@cs.utoronto.ca Abstract 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
Character-level Convolutional Networks for Text Classification
Character-level Convolutional Networks for Text Classification∗ Xiang Zhang Junbo Zhao Yann LeCun Courant Institute of Mathematical Sciences, New York University 719 Broadway, 12th Floor, New York, NY 10003 {xiang, junbo.zhao, yann}@cs.nyu.edu Abstract This article offers an empirical exploration on the use of character-level convolu- tional networks (ConvNets) for text classification. We construc
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Large Scale Distributed Deep Networks