Pipelined Back-Propagation for Context-Dependent Deep Neural Networks Xie Chen1,3 , Adam Eversole2 , Gang Li1 , Dong Yu2 , and Frank Seide1 1 Microsoft Research Asia, Beijing, P.R.C. 2 - Xie - Document - PDFSEARCH.IO

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	Pipelined Back-Propagation for Context-Dependent Deep Neural Networks Xie Chen1,3 , Adam Eversole2 , Gang Li1 , Dong Yu2 , and Frank Seide1 1 Microsoft Research Asia, Beijing, P.R.C. 2 Add to Reading List Document Date: 2013-07-09 06:18:12 Open Document File Size: 174,02 KB Share Result on Facebook City Philadelphia / Seattle / Beijing / Taipei / Lattice / Florence / Redmond / / Company Dell / Deep Belief Networks / Neural Networks / Microsoft Research Asia / NVidia / GPU / HMM / / Country United States / / / Facility Tsinghua University / / IndustryTerm software improvements / matrix products / baseline systems / supervised layer-building algorithm / backpropagation algorithm / less optimized software / large deep network / / Organization Tsinghua University / Department of Electronic Engineering / / Position 2000h Fisher / Fisher / / Product Net Speech Recognition System / / ProgrammingLanguage L / / ProvinceOrState Manitoba / Washington / / RadioStation DNN / / Technology speech recognition / Neural Network / supervised layer-building algorithm / Simulation / Speech Recognition System / backpropagation algorithm / / SocialTag Science Computational neuroscience Computational statistics Markov models Computer accessibility Speech recognition GPGPU Hidden Markov model Artificial neural network Neural networks

Pipelined Back-Propagation for Context-Dependent Deep Neural Networks Xie Chen1,3 , Adam Eversole2 , Gang Li1 , Dong Yu2 , and Frank Seide1 1 Microsoft Research Asia, Beijing, P.R.C. 2Add to Reading List