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Neural networks
Results: 3500

#	Item
301	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
302	Exact solutions to the nonlinear dynamics of learning in deep linear neural networks arXiv:1312.6120v3 [cs.NE] 19 FebAndrew M. Saxe () Add to Reading List Source URL: arxiv.org Language: English - Date: 2014-02-19 20:47:47 Artificial neural networks Statistics Machine learning Applied mathematics Deep learning Autoencoder Backpropagation Principal component analysis Matrix
303	arXiv:1409.3215v3 [cs.CL] 14 Dec 2014 Add to Reading List Source URL: cs224d.stanford.edu Language: English - Date: 2014-12-15 20:32:58 Artificial neural networks Artificial intelligence Machine learning Computational neuroscience Computational linguistics Cybernetics Artificial intelligence applications Computer-assisted translation Deep learning Long short-term memory Recurrent neural network Speech recognition
304	Proposal for a tutorial at IJCNN’14 Prototype based methods: Mathematical foundations, interpretability, and data visualization Organizer Add to Reading List Source URL: www.conference123.org Language: English - Date: 2014-07-16 23:21:33 Artificial neural networks Neuroscience Applied mathematics Cybernetics Cognitive science Learning vector quantization Computational neuroscience Computational statistics Neural gas Vector quantization Machine learning Neurocomputing
305	Neural Dynamics approaches to Cognitive Robotics Gregor Sch¨oner, September 2011 Exercise: neural dynamics simulations The neuronal dynamics simulated in the lectures is τu u(t) ˙ Add to Reading List Source URL: roboticsschool.ini.rub.de Language: English - Date: 2012-05-10 11:23:13
306	Simplified Rules and Theoretical Analysis for Information Bottleneck Optimization and PCA with Spiking Neurons Lars Buesing, Wolfgang Maass Institute for Theoretical Computer Science Add to Reading List Source URL: www.gatsby.ucl.ac.uk Language: English - Date: 2014-10-13 19:51:13 Computational neuroscience Neuroscience Nervous system Artificial neural networks Statistics Multivariate statistics Biophysics Biological neuron model Principal component analysis Artificial neuron Spike-timing-dependent plasticity Hebbian theory
307	Bag of Tricks for Efficient Text Classification Edouard Grave Piotr Bojanowski Tomas Mikolov Facebook AI Research {ajoulin,egrave,bojanowski,tmikolov}@fb.com Add to Reading List Source URL: arxiv.org Language: English - Date: 2016-07-07 20:15:13 Artificial intelligence Artificial neural networks Computational neuroscience Applied mathematics Machine learning Natural language processing Language modeling Deep learning Convolutional neural network Yann LeCun Word embedding Bigram
308	RGB-D Object Recognition and Pose Estimation Based on Pre-Trained Convolutional Neural Network Features Add to Reading List Source URL: www.ais.uni-bonn.de Language: English - Date: 2015-03-03 05:00:04 Computer vision Artificial intelligence Computational neuroscience Vision Statistics Artificial neural networks Convolutional neural network Robot control Outline of object recognition Pose Image segmentation Support vector machine
309	Published in Proc. of International Joint Conference on Neural Networks (IJCNNin Barcelona, Spain Topological Features in Locally Connected RBMs Andreas M¨uller, Hannes Schulz, and Sven Behnke Abstract— Unsupe Add to Reading List Source URL: amueller.github.io Language: English - Date: 2016-08-04 15:59:56 Artificial neural networks Artificial intelligence Computational neuroscience Cybernetics Applied mathematics Machine learning Formal sciences Deep learning Convolutional neural network Feature learning Restricted Boltzmann machine Boltzmann machine
310	Evaluating Users’ Satisfaction in Packet Networks Using Random Neural Networks Gerardo Rubino1 , Pierre Tirilly1 , and Martın Varela2,! 1 Inria/Irisa, Rennes Add to Reading List Source URL: www.cnl.fi Language: English - Date: 2011-03-31 17:25:57 Artificial neural networks Applied mathematics Computational neuroscience Computational statistics Electrical engineering Statistics Random neural network Video quality Voice over IP PESQ Jitter Packet loss

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