Backpropagation

Results: 468



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11Artificial neural networks / Learning / Artificial intelligence / Applied mathematics / Perceptron / Multilayer perceptron / Restricted Boltzmann machine / Backpropagation / Pattern recognition / Boltzmann machine / Delta rule / Supervised learning

Kleinetal2012NCPW_revision.dvi

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Source URL: www.stefanfrank.info

Language: English - Date: 2013-05-22 07:20:36
12Artificial neural networks / Artificial intelligence / Learning / Applied mathematics / Recurrent neural network / Long short-term memory / Sepp Hochreiter / Backpropagation / Vanishing gradient problem / Supervised learning / Support vector machine / Generalization error

Optimal Gradient-Based Learning Using Importance Weights Sepp Hochreiter and Klaus Obermayer Bernstein Center for Computational Neuroscience and Technische Universit¨at Berlin

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Source URL: www.bioinf.jku.at

Language: English - Date: 2013-01-23 02:39:45
13Artificial neural networks / Applied mathematics / Cybernetics / Academia / Recurrent neural network / Long short-term memory / Sepp Hochreiter / Backpropagation / Artificial intelligence / Pattern recognition / Time delay neural network / Deep learning

Bridging Long Time Lags by Weight Guessing and \Long Short Term Memory" Sepp Hochreiter Fakultat fur Informatik, Technische Universitat Munchen

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Source URL: www.bioinf.jku.at

Language: English - Date: 2013-01-23 02:11:14
14Artificial neural networks / Academia / Applied mathematics / Artificial intelligence / Computational neuroscience / Formal sciences / Machine learning / Computational statistics / Recurrent neural network / Sepp Hochreiter / Long short-term memory / Backpropagation

EVALUATING BENCHMARK PROBLEMS BY RANDOM GUESSING J¨ urgen Schmidhuber IDSIA Corso Elvezia 36

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Source URL: www.bioinf.jku.at

Language: English - Date: 2015-10-02 01:16:05
15Artificial neural networks / Applied mathematics / Machine learning / Statistics / Factorial code / Sepp Hochreiter / Backpropagation / Competitive learning / Self-organizing map / Autoencoder

Low-Complexity Coding and Decoding Sepp Hochreiter and Jurgen Schmidhuber Technische Universitat Munchen, 80290 Munchen, Germany and IDSIA, Corso Elvezia 36, CH-6900-Lugano, Switzerland Abstract. We present a novel

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Source URL: www.bioinf.jku.at

Language: English - Date: 2013-01-23 02:15:47
16Artificial neural networks / Machine learning / Artificial intelligence / Cybernetics / Sepp Hochreiter / Deep learning / Rectifier / Activation function / MNIST database / Backpropagation / Autoencoder / Boltzmann machine

ELU-Networks: Fast and Accurate CNN Learning on ImageNet Martin Heusel, Djork-Arné Clevert, Günter Klambauer, Andreas Mayr, Karin Schwarzbauer, Thomas Unterthiner, and Sepp Hochreiter Abstract:

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Source URL: www.bioinf.jku.at

Language: English - Date: 2015-12-21 07:26:55
17Artificial neural networks / Statistics / Machine learning / Applied mathematics / Deep learning / Autoencoder / Backpropagation / Principal component analysis / Matrix

Exact solutions to the nonlinear dynamics of learning in deep linear neural networks arXiv:1312.6120v3 [cs.NE] 19 FebAndrew M. Saxe ()

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Source URL: arxiv.org

Language: English - Date: 2014-02-19 20:47:47
18Artificial intelligence / Statistics / Computational neuroscience / Machine learning / Artificial neural networks / Computational statistics / Mathematical psychology / Noise reduction / Backpropagation / Bilateral filter / Mixture model / Convolutional neural network

A Machine Learning Approach for Filtering Monte Carlo Noise

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Source URL: cvc.ucsb.edu

Language: English - Date: 2015-05-13 18:18:10
19Artificial neural networks / Applied mathematics / Cybernetics / Backpropagation through time / Recurrent neural network / Exponential growth / Backpropagation / Mathematics

Gradient Flow in Recurrent Nets: the Difficulty of Learning Long-Term Dependencies Sepp Hochreiter Fakult¨at f¨ ur Informatik

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Source URL: www.bioinf.jku.at

Language: English - Date: 2015-10-02 01:16:05
20Artificial neural networks / Neuroscience / Computational neuroscience / Applied mathematics / Cybernetics / Artificial intelligence / Recurrent neural network / Computational statistics / Long short-term memory / Neural networks / Biological neural network / Backpropagation

CS224d: Deep NLP Lecture 9: Wrap up: LSTMs and Recursive Neural Networks Richard Socher

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Source URL: cs224d.stanford.edu

Language: English - Date: 2016-04-30 00:52:50
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