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Neural backpropagation
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1	On derivation of stagewise second-order backpropagation by invariant imbedding for multi-stage neural-network learning Eiji Mizutani and Stuart Dreyfus Abstract— We present a simple, intuitive argument based on “inva Add to Reading List Source URL: www.comp.sd.tmu.ac.jp Language: English - Date: 2013-03-25 23:29:17
2	Backpropagation Through Time: What It Does and How to Do It PAUL J. WERBOS Backpropagation is now the most widely used tool in the field of artificial neural networks. At the core of backpropagation is a Add to Reading List Source URL: www.cs.cmu.edu - Date: 2013-09-09 12:05:45
3	NCSU_SAS_SAM: Deep Encoding and Reconstruction for Normalization of Noisy Text Samuel P. Leeman-Munk James C. Lester Center for Educational Informatics North Carolina State University Add to Reading List Source URL: noisy-text.github.io Language: English - Date: 2016-08-14 21:11:09 Artificial neural networks Cybernetics Applied mathematics Artificial intelligence Deep learning Convolutional neural network Feature learning Backpropagation Autoencoder Artificial neuron Feedforward neural network
4	A Hybrid System for MorphoSyntactic Disambiguation in Bulgarian Kiril Iv. Simov and Petya N. Osenova y Add to Reading List Source URL: bultreebank.org Language: English - Date: 2003-12-07 15:22:49 Artificial neural networks Neuroscience Languages of Europe Applied mathematics Neuron Backpropagation Grammatical number Recurrent neural network Grammatical gender Bulgarian language Delta rule
5	Kleinetal2012NCPW_revision.dvi Add to Reading List Source URL: www.stefanfrank.info Language: English - Date: 2013-05-22 07:20:36 Artificial neural networks Learning Artificial intelligence Applied mathematics Perceptron Multilayer perceptron Restricted Boltzmann machine Backpropagation Pattern recognition Boltzmann machine Delta rule Supervised learning
6	Optimal Gradient-Based Learning Using Importance Weights Sepp Hochreiter and Klaus Obermayer Bernstein Center for Computational Neuroscience and Technische Universit¨at Berlin Add to Reading List Source URL: www.bioinf.jku.at Language: English - Date: 2013-01-23 02:39:45 Artificial 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
7	Bridging Long Time Lags by Weight Guessing and \Long Short Term Memory" Sepp Hochreiter Fakultat fur Informatik, Technische Universitat Munchen Add to Reading List Source URL: www.bioinf.jku.at Language: English - Date: 2013-01-23 02:11:14 Artificial 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
8	EVALUATING BENCHMARK PROBLEMS BY RANDOM GUESSING J¨ urgen Schmidhuber IDSIA Corso Elvezia 36 Add to Reading List Source URL: www.bioinf.jku.at Language: English - Date: 2015-10-02 01:16:05 Artificial 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
9	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 Add to Reading List Source URL: www.bioinf.jku.at Language: English - Date: 2013-01-23 02:15:47 Artificial neural networks Applied mathematics Machine learning Statistics Factorial code Sepp Hochreiter Backpropagation Competitive learning Self-organizing map Autoencoder
10	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: Add to Reading List Source URL: www.bioinf.jku.at Language: English - Date: 2015-12-21 07:26:55 Artificial neural networks Machine learning Artificial intelligence Cybernetics Sepp Hochreiter Deep learning Rectifier Activation function MNIST database Backpropagation Autoencoder Boltzmann machine

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