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Artificial neural network
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281	ON TRAINING THE RECURRENT NEURAL NETWORK ENCODER-DECODER FOR LARGE VOCABULARY END-TO-END SPEECH RECOGNITION Liang Lu1 , Xingxing Zhang2 , and Steve Renals1 1 2 Add to Reading List Source URL: homepages.inf.ed.ac.uk Language: English - Date: 2016-01-21 10:21:18 Artificial neural networks Computational neuroscience Computational linguistics Artificial intelligence Computational statistics Recurrent neural network Speech recognition Neural machine translation Long short-term memory Language model Convolutional neural network Vanishing gradient problem
282	CALL FOR PAPERS Third International NAISO Symposium on ENGINEERING OF INTELLIGENT SYSTEMS (EISUniversity of Malaga Malaga, Spain September, 2002 Add to Reading List Source URL: www.icsc-naiso.org Language: English - Date: 2003-12-20 09:37:46 Ambient intelligence Machine learning Artificial intelligence Cellular neural network
283	SHORT TERM TRAFFIC PREDICTION ON THE UK MOTORWAY NETWORK USING NEURAL NETWORKS Carl Goves Transport Systems Catapult 1. Add to Reading List Source URL: ts.catapult.org.uk Language: English - Date: 2016-05-19 04:36:12 Artificial neural networks Computational neuroscience Computational statistics Mathematical psychology Autoencoder Backpropagation Machine learning Deep learning Types of artificial neural networks
284	Multilayer Perceptrons and Backpropagation Informatics 1 CG: Lecture 6 Mirella Lapata Reading: Kevin Gurney’s Introduction to Neural Networks, Add to Reading List Source URL: www.inf.ed.ac.uk Language: English - Date: 2016-01-31 15:41:31 Artificial neural networks Multilayer perceptron Feedforward neural network Backpropagation Delta rule Perceptron Artificial neuron Activation function
285	Complementary tasks for context-dependent deep neural network acoustic models Peter Bell, Steve Renals Centre for Speech Technology Research, University of Edinburgh, Edinburgh EH8 9AB, UK {peter.bell, s.renals}@ed.ac.uk Add to Reading List Source URL: www.cstr.inf.ed.ac.uk Language: English - Date: 2015-09-29 11:06:25 Machine learning Computational linguistics Computational neuroscience Automatic identification and data capture Computer accessibility Speech recognition Artificial neural network Multi-task learning Recurrent neural network Statistical classification Deep learning
286	Advances in Deep Learning by Wojciech Zaremba Ex-Intern at Grad student at Add to Reading List Source URL: cs.nyu.edu Language: English - Date: 2014-10-03 11:53:39 Computational neuroscience Artificial neural networks Artificial intelligence Deep learning Convolutional neural network Computational linguistics Recurrent neural network Speech recognition Convolutional Deep Belief Networks
287	Evolutionary Computing, or “What Would a Computer Do?” The computers are at it again, this time challenging humans in a Go competition at the IEEE World Congress of Computing Intelligence (WCCI)—and, based on Alpha Add to Reading List Source URL: wcci2016.org Language: English - Date: 2016-07-07 23:14:14 Game artificial intelligence Artificial intelligence Computational neuroscience Electronic games Evolution Evolutionary computation Blondie24 Computational intelligence Fogel IEEE Computational Intelligence Society Computer chess Artificial neural network
288	Published as a conference paper at ICLRS EQUENCE L EVEL T RAINING WITH R ECURRENT N EURAL N ETWORKS arXiv:1511.06732v5 [cs.LG] 12 Feb 2016 Add to Reading List Source URL: arxiv.org Language: English - Date: 2016-02-14 20:41:00 Computational linguistics Natural language processing Computational neuroscience Computational statistics Recurrent neural network Speech recognition Automatic summarization Artificial neural network Algorithm Structured prediction N-gram Cross entropy
289	Grammar as a Foreign Language arXiv:1412.7449v3 [cs.CL] 9 Jun 2015 Oriol Vinyals∗ Google Add to Reading List Source URL: arxiv.org Language: English - Date: 2015-06-10 21:04:27 Computational linguistics Artificial neural networks Computational neuroscience Artificial intelligence Formal sciences Long short-term memory Deep learning Parsing Speech recognition Recurrent neural network Sepp Hochreiter Natural language processing
290	DIFFERENTIABLE POOLING FOR UNSUPERVISED SPEAKER ADAPTATION Pawel Swietojanski and Steve Renals Centre for Speech Technology Research, University of Edinburgh, Edinburgh EH8 9AB {p.swietojanski, s.renals}@ed.ac.uk ABSTRA Add to Reading List Source URL: www.cstr.inf.ed.ac.uk Language: English - Date: 2015-09-29 11:06:25 Automatic identification and data capture Artificial neural networks Computational neuroscience Machine learning Computer accessibility Speech recognition Convolutional neural network Speaker recognition Neocognitron Unsupervised learning FMLLR Pattern recognition

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