Neural networks

Results: 3500



#Item
211

arXiv:1603.05279v4 [cs.CV] 2 AugXNOR-Net: ImageNet Classification Using Binary Convolutional Neural Networks

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Source URL: arxiv.org

- Date: 2016-08-03 20:37:47
    212

    Regularization of Neural Networks using DropConnect Li Wan Matthew Zeiler

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    Source URL: cs.nyu.edu

    - Date: 2013-06-13 10:01:38
      213

      Cardiac Dysrhythmia Detection with GPU-Accelerated Neural Networks Albert Haque Computer Science Department, Stanford University 1. Introduction

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      Source URL: cs229.stanford.edu

      - Date: 2015-02-24 23:01:02
        214

        Strongly-Typed Recurrent Neural Networks David Balduzzi1 Muhammad Ghifary1,2 1 Victoria University of Wellington, New Zealand

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        Source URL: jmlr.org

        - Date: 2016-10-08 19:36:35
          215

          International Journal of Computer Science and Applications, ”Technomathematics Research Foundation Vol. 13, No. 2, pp. 45 – 60, 2016 A NOVEL NEURAL NETWORKS-BASED TEXTURE IMAGE PROCESSING ALGORITHM FOR ORANGE DEFECTS

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          Source URL: www.tmrfindia.org

          - Date: 2016-06-21 06:30:21
            216

            Performance Evaluation–161 Performance evaluation of real-time speech through a packet network: a random neural networks-based approach Samir Mohamed, Gerardo Rubino∗ , Mart´ın Varela INRIA/IRISA, Ca

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            Source URL: www.cnl.fi

            - Date: 2011-03-31 06:34:25
              217

              A critical study of network models for neural networks Gordon Govan, Peirluigi Frisco, Alex Xenos School of Mathematical and Computer Sciences Heriot-Watt University

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              Source URL: www.monmeetings.org

              - Date: 2015-09-04 10:24:58
                218

                Towards the Natural Unification of Neural Networks and Gigabit Switches Ike Antkare International Institute of Technology United Slates of Earth

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                Source URL: membres-lig.imag.fr

                - Date: 2014-01-09 04:24:29
                  219

                  Globally Normalized Transition-Based Neural Networks Daniel Andor, Chris Alberti, David Weiss, Aliaksei Severyn, Alessandro Presta, Kuzman Ganchev, Slav Petrov and Michael Collins∗ Google Inc New York, NY {andor,chrisa

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                  Source URL: arxiv.org

                  - Date: 2016-06-08 20:54:40
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