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Artificial neural networks
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#	Item
261	A Study of the Recurrent Neural Network Encoder-Decoder for Large Vocabulary Speech Recognition Liang Lu1 , Xingxing Zhang2 , Kyunghyun Cho3 , and Steve Renals1 1 2 Add to Reading List Source URL: homepages.inf.ed.ac.uk Language: English - Date: 2015-12-17 18:03:37 Artificial neural networks Computational neuroscience Computational linguistics Computational statistics Artificial intelligence Recurrent neural network Speech recognition Language model Long short-term memory Neural machine translation Feedforward neural network Convolutional neural network
262	Variability in neural activity and behavior Add to Reading List Source URL: www.machenslab.org Language: English - Date: 2014-06-04 11:23:26 Neuroscience Computational neuroscience Neural networks Neural coding Cognition Neural oscillation Neural correlates of consciousness Artificial neural network Neural ensemble Biological neural network Nervous system H1 neuron
263	A Hierarchical Neural Autoencoder for Paragraphs and Documents Jiwei Li, Minh-Thang Luong and Dan Jurafsky Computer Science Department, Stanford University, Stanford, CA 94305, USA jiweil, lmthang, Add to Reading List Source URL: web.stanford.edu Language: English - Date: 2015-08-25 00:02:48 Computational linguistics Natural language processing Artificial neural networks Computational neuroscience Speech recognition Deep learning Long short-term memory Automatic summarization Sepp Hochreiter Parsing Feature learning N-gram
264	arXiv:1603.04351v1 [cs.CL] 14 Mar 2016 Add to Reading List Source URL: arxiv.org Language: English - Date: 2016-03-14 20:36:50 Artificial neural networks Artificial intelligence Compiler construction Parsing Deep learning Word embedding Recurrent neural network Formal languages LL parser LR parser
265	Tweet2Vec: Learning Tweet Embeddings Using Character-level CNN-LSTM Encoder-Decoder Soroush Vosoughi∗ Prashanth Vijayaraghavan∗ Add to Reading List Source URL: socialmachines.media.mit.edu Language: English - Date: 2016-05-29 14:44:25 Artificial neural networks Computational neuroscience Deep learning Recurrent neural network Convolutional neural network Long short-term memory Tweet Artificial intelligence Autoencoder Convolution SemEval
266	Microsoft Word - IJIMA03-01.docx Add to Reading List Source URL: www.foibg.com Language: English - Date: 2015-02-02 08:39:28 Artificial neural networks Computational neuroscience Computational statistics Neural networks Mathematical psychology Biological neural network Simulation Cellular neural network Types of artificial neural networks
267	PAC Learning and Artificial Neural Networks Martin Anthony and Norman Biggs Department of Mathematics, London School of Economics and Political Science (University of London), Houghton St., London WC2A 2AE, United Kingdo Add to Reading List Source URL: www.maths.lse.ac.uk Language: English - Date: 2000-04-03 14:19:07 Computational learning theory Artificial neural networks Machine learning Computational statistics Learning VC dimension Sample complexity Probably approximately correct learning Backpropagation Perceptron Vladimir Vapnik Radial basis function network
268	Higher Order Cognition using Computers: Learning Abstract Concepts with Recursive Graph-based Self Organizing Maps Peter J. Bentley1, 2, Alexander Kurashov1 and Soo Ling Lim1, 2 1 Braintree Limited, London, United Kingd Add to Reading List Source URL: s3-eu-west-1.amazonaws.com Language: English - Date: 2016-04-28 11:15:27 Dimension reduction Artificial neural networks Self-organizing map Data mining Concept learning Machine learning Cluster analysis Graph database
269	arXiv:1506.00019v4 [cs.LG] 17 OctA Critical Review of Recurrent Neural Networks for Sequence Learning Zachary C. Lipton Add to Reading List Source URL: arxiv.org Language: English - Date: 2015-10-19 21:37:55 Artificial neural networks Cybernetics Applied mathematics Machine learning Recurrent neural network Deep learning Long short-term memory Feedforward neural network Convolutional neural network Backpropagation Connectionism Restricted Boltzmann machine
270	Theano Tutorial Theano is a software package which allows you to write symbolic code and compile it onto diﬀerent architectures (in particular, CPU and GPU). It was developed by machine learning researchers at the Univ Add to Reading List Source URL: colinraffel.com Language: English - Date: 2015-12-30 23:12:51 Artificial neural networks Sigmoid function Artificial neuron Parameter Function Gradient descent Backpropagation Multilayer perceptron Activation function Theano Default argument Artificial intelligence

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