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Artificial neural networks
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241	LSTM CAN SOLVE HARD LONG TIME LAG PROBLEMS Sepp Hochreiter Fakultat fur Informatik Technische Universitat Munchen Add to Reading List Source URL: www.bioinf.jku.at Language: English - Date: 2013-01-23 02:12:00 Artificial neural networks Long short-term memory Recurrent neural network Sepp Hochreiter Backpropagation Artificial intelligence Pattern recognition Time delay neural network Computer Deep learning Types of artificial neural networks
242	Informatics 1 CG – Tutorial 2 Week 3 The goal of this tutorial is to deepen your understanding of perceptrons in general as well as the backpropagation algorithm used for training multilayer perceptrons. You should mak Add to Reading List Source URL: www.inf.ed.ac.uk Language: English - Date: 2015-01-23 06:08:04 Artificial neural networks Multilayer perceptron Perceptron Artificial neuron
243	Sensor Substitution for Video-based Action Recognition Christian Rupprecht∗,1,2 , Colin Lea∗,2 Federico Tombari1,3 , Nassir Navab1,2 , Gregory D. Hager2 Abstract— There are many applications where domainspecific se Add to Reading List Source URL: campar.in.tum.de Language: English - Date: 2016-03-04 11:42:56 Computational neuroscience Artificial neural networks Computer vision Convolutional neural network Deep learning Conditional random field Robotics Activity recognition Optical flow Cellular neural network
244	A Taxonomy and Library for Visualizing Learned Features in Convolutional Neural Networks ¨ Felix Grun Technische Universit¨at M¨unchen, Germany Add to Reading List Source URL: campar.in.tum.de Language: English - Date: 2016-06-23 05:02:01 Artificial neural networks Computational neuroscience Convolutional neural network Backpropagation Artificial intelligence Autoencoder Biological neural network Deep learning Vanishing gradient problem
245	Reservoir computing and the Sooner-is-Better bottleneck Commentary on: Christiansen & Chater, “The now-or-never bottleneck: a fundamental constraint on language”, to appear in Behavioral and Brain Sciences. © Cambri Add to Reading List Source URL: www.stefanfrank.info Language: English - Date: 2015-10-13 03:34:32 Artificial neural networks Computational neuroscience Computational statistics Neural networks Mathematical psychology Biological neural network Reservoir computing Input Cognitive model Recurrent neural network
246	ADIEU FEATURES? END-TO-END SPEECH EMOTION RECOGNITION USING A DEEP CONVOLUTIONAL RECURRENT NETWORK George Trigeorgis1 , Fabien Ringeval2,3 , Raymond Brueckner3,4 , Erik Marchi3 Mihalis A. Nicolaou5 , Björn Schuller1,2,6 Add to Reading List Source URL: ibug.doc.ic.ac.uk Language: English - Date: 2016-01-23 15:42:05 Artificial neural networks Computational neuroscience Computational linguistics Cybernetics Computational statistics Deep learning Speech recognition Recurrent neural network Convolutional neural network Long short-term memory Acoustic model Affective computing
247	Learning Deep Convolutional Neural Networks for Places2 Scene Recognition WM Team Li Shen Add to Reading List Source URL: image-net.org Language: English - Date: 2015-12-21 12:22:54 Artificial neural networks Backpropagation
248	Published as a conference paper at ICLRM ULTI - TASK S EQUENCE TO S EQUENCE L EARNING Minh-Thang Luong∗, Quoc V. Le, Ilya Sutskever, Oriol Vinyals, Lukasz Kaiser Google Brain ,{qvl,ilyasu,vin Add to Reading List Source URL: arxiv.org Language: English - Date: 2016-03-01 20:44:46 Machine learning Computational linguistics Artificial neural networks Computational neuroscience Computer-assisted translation Feature learning Parsing Machine translation Neural machine translation Autoencoder Evaluation of machine translation Multi-task learning
249	Spiking Neural Networks Introduction 3 v(t) (mV) Add to Reading List Source URL: www.inrialpes.fr Language: English - Date: 2008-11-13 06:07:09 Computational neuroscience Neuroscience Neural networks Nervous system Artificial neural networks Biological neuron model Spiking neural network Neuron Biological neural network Inhibitory postsynaptic potential Action potential Synaptic weight
250	NEST by Example: An Introduction to the Neural Simulation Tool NEST VersionMarc-Oliver Gewaltig1 , Abigail Morrison2 , and Hans Ekkehard Plesser3, 2 1 Blue Brain Project, Ecole Polytechnique Federale de Lausanne, Add to Reading List Source URL: www.nest-simulator.org Language: English - Date: 2016-01-04 09:55:18 Computational neuroscience Nervous system Neuroscience Neurophysiology Neural networks NEST Biological neuron model Neuron Action potential Axon Excitatory synapse Artificial neuron

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