Best Practices for Convolutional Neural Networks Applied to Visual Document Analysis Patrice Y. Simard, Dave Steinkraus, John C. Platt Microsoft Research, One Microsoft Way, Redmond WA 98052 {patrice,v-davste,jplatt}@mic - Convolutional neural network - Document - PDFSEARCH.IO

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	Best Practices for Convolutional Neural Networks Applied to Visual Document Analysis Patrice Y. Simard, Dave Steinkraus, John C. Platt Microsoft Research, One Microsoft Way, Redmond WA 98052 {patrice,v-davste,jplatt}@mic Add to Reading List Document Date: 2013-10-01 23:39:13 Open Document File Size: 88,53 KB Share Result on Facebook City Lyon / / Company Oxford University Press / Convolutional Neural Networks / Multilayer Feedforward Networks / Neural Networks / Intel / / / IndustryTerm large networks / connected networks / connected network / learning algorithm / / Organization Oxford University / MIT / / Person Patrice Y. Simard / John C. Platt / / Position feature extractor / trainable feature extractor / / ProgrammingLanguage C++ / / Technology learning algorithm / Human Language Technology / Natural Language Processing / Machine Learning / neural network / / URL http / SocialTag Neuroscience Perceptron Backpropagation Multilayer perceptron Statistical classification Artificial neural network Cellular neural network Neural networks Cybernetics Statistics

Best Practices for Convolutional Neural Networks Applied to Visual Document Analysis Patrice Y. Simard, Dave Steinkraus, John C. Platt Microsoft Research, One Microsoft Way, Redmond WA 98052 {patrice,v-davste,jplatt}@micAdd to Reading List