Deep

Results: 20988



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491

ISSCCSESSION 14 / NEXT-GENERATION PROCESSINGEyeriss: An Energy-Efficient Reconfigurable Accelerator for Deep Convolutional Neural Networks

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Source URL: www.rle.mit.edu

- Date: 2016-02-03 01:33:12
    492

    Greedy Layer-Wise Training of Deep Networks Yoshua Bengio, Pascal Lamblin, Dan Popovici and Hugo Larochelle Dept. IRO, Universit´e de Montr´eal P.O. Box 6128, Downtown Branch, Montreal, H3C 3J7, QC, Canada {bengioy,lam

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    Source URL: www.iro.umontreal.ca

    - Date: 2006-08-22 13:31:10
      493

      Detection and Classification of Acoustic Scenes and EventsSeptember 2016, Budapest, Hungary CP-JKU SUBMISSIONS FOR DCASE-2016: A HYBRID APPROACH USING BINAURAL I-VECTORS AND DEEP CONVOLUTIONAL NEURAL NETWORKS

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      Source URL: www.cs.tut.fi

      - Date: 2016-08-30 06:05:43
        494

        Case, Constructions, FrameNet, and the Deep Lexicon Jerry R. Hobbs Information Sciences Institute University of Southern California Marina del Rey, California

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        Source URL: anthology.aclweb.org

        - Date: 2014-06-16 05:53:34
          495

          Selecting Roses for Deep South Gardens NovemberBy Al Whitcomb Brooksville, FL Marlon’s Day

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          Source URL: www.deepsouthdistrict.org

          - Date: 2011-11-08 22:32:55
            496

            STITCHERY sturdy fabric basket finished size > 8” wide by 5” high by 5” deep.

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            Source URL: www.commandndesign.com

            - Date: 2016-11-29 11:58:30
              497

              GeePS: Scalable deep learning on distributed GPUs with a GPU-specialized parameter server Henggang Cui, Hao Zhang, Gregory R. Ganger, Phillip B. Gibbons, Eric P. Xing Carnegie Mellon University Abstract

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              Source URL: www.pdl.cmu.edu

              - Date: 2016-04-04 18:28:21
                498

                    Deep-­‐sea  fish  caught  by  French  trawlers  off  Scotland  listed  as   «  endangered  »  by  the  IUCN  

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                Source URL: eu.savethehighseas.org

                - Date: 2015-06-17 10:25:40
                  499

                  On the expressive power of deep neural networks arXiv:1606.05336v2 [stat.ML] 24 Jun 2016 Maithra Raghu Google Brain and Cornell University

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                  Source URL: arxiv.org

                  - Date: 2016-06-27 20:07:24
                    500

                    Demilitarization for Deep Decarbonization: Reducing Militarism and Military Expenditures to Invest in the UN Green Climate Fund and to Create Low-Carbon Economies and Resilient Communities Tamara Lorincz DRAFT WORKING PA

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                    Source URL: ipb.org

                    - Date: 2014-09-18 03:40:46
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