| Document Date: 2013-08-04 21:20:17
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Company Neural Networks / NVIDIA / GPU / USA 2 Google Inc. / Google / ReLUs / / Country Canada / / Event Reorganization / / Facility Courant Institute / University of Toronto / New York University / / IndustryTerm speech recognition systems / online leaning / vision applications / logistic networks / deep stacking networks / deep logistic networks / deep belief networks / logistic network / log-energy filter bank outputs representing 25ms / sparse coding algorithms / unsupervised algorithms / layer-wise unsupervised learning algorithm / hidden layers logistic network / distributed deep networks / deep networks / parameter server / belief networks / deeper networks / parameters server / learning algorithm / / Organization Computational and Biological Learning Lab / New York University / Courant Institute / University of Toronto / / Person P. Tucker / A. Ng / K. Yang / / PublishedMedium Journal of Machine Learning Research / / Technology learning algorithm / speech recognition / sparse coding algorithms / neural network / Machine Learning / layer-wise unsupervised learning algorithm / /
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ON RECTIFIED LINEAR UNITS FOR SPEECH PROCESSING M.D. Zeiler1∗ , M. Ranzato2 , R. Monga2 , M. Mao2 , K. Yang2 , Q.V. Le2 , P. Nguyen2 , A. Senior2 , V. Vanhoucke2 , J. Dean2 , G.E. Hinton3 1 New York University, USA