Neural network

Results: 3284



#Item
61

Physica D–1234 www.elsevier.com/locate/physd Statistical physics on cellular neural network computers M. Ercsey-Ravasz a,b,∗ , T. Roska a , Z. N´eda b a P´azm´any P´eter Catholic University, Depar

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Source URL: adatbank.transindex.ro

- Date: 2015-12-02 05:48:24
    62

    FuNN - A Fuzzy Neural Network Architecture for Adaptive Learning and Knowledge Acquisition N. K. Kasabov, J. S. Kim, A. R. Gray, M. J. Watts Department of Information Science University of Otago, P.O.Box 56, Dunedin, New

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    Source URL: www.aut.ac.nz

    - Date: 2009-03-25 21:33:32
      63

      arXiv:1502.04623v2 [cs.CV] 20 MayDRAW: A Recurrent Neural Network For Image Generation Karol Gregor Ivo Danihelka

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      Source URL: arxiv.org

      - Date: 2015-05-20 20:27:16
        64

        Neural networks Feedforward neural network - activation function September Abstract6, 2012

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        Source URL: dl.dropboxusercontent.com

          65

          IEEE TRANSACTIONS ON NEURAL NETWORKS, VOL. 18, NO. 3, MAYReal-Time Neural Network Inversion on the SRC-6e Reconfigurable Computer

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          Source URL: marksmannet.com

            66

            INSTITUTE OF PHYSICS PUBLISHING NETWORK: COMPUTATION IN NEURAL SYSTEMS Network: Comput. Neural Syst–194

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            Source URL: www.researchgate.net

              67

              Training a 3-node neural network is NP-complete

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              Source URL: people.csail.mit.edu

              - Date: 2016-12-08 01:35:55
                68

                Neural networks Feedforward neural network - capacity of single neuron • h(x) = g(a(x)) = g(bi i wixi) Abstract

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                Source URL: dl.dropboxusercontent.com

                  69

                  Robsut Wrod Reocginiton via semi-Character Recurrent Neural Network arXiv:1608.02214v1 [cs.CL] 7 Aug 2016 Keisuke Sakaguchi† Kevin Duh‡ Matt Post‡ Benjamin Van Durme†‡ †

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                  Source URL: arxiv.org

                  - Date: 2016-08-08 20:49:03
                    70

                    Real-Time Single Image and Video Super-Resolution Using an Efficient arXiv:1609.05158v2 [cs.CV] 23 Sep 2016 Sub-Pixel Convolutional Neural Network Wenzhe Shi1 , Jose Caballero1 , Ferenc Husz´ar1 , Johannes Totz1 , Andr

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                    Source URL: arxiv.org

                    - Date: 2016-09-25 20:34:58
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