Deep belief network

Results: 22



#Item
11Language Understanding for Text-based Games using Deep Reinforcement Learning Karthik Narasimhan∗ CSAIL, MIT

Language Understanding for Text-based Games using Deep Reinforcement Learning Karthik Narasimhan∗ CSAIL, MIT

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Source URL: www.emnlp2015.org

Language: English - Date: 2015-09-04 01:25:56
12Learning a Deep Hybrid Model for Semi-Supervised Text Classification Alexander G. Ororbia II, C. Lee Giles, David Reitter College of Information Sciences and Technology The Pennsylvania State University, University Park,

Learning a Deep Hybrid Model for Semi-Supervised Text Classification Alexander G. Ororbia II, C. Lee Giles, David Reitter College of Information Sciences and Technology The Pennsylvania State University, University Park,

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Source URL: www.anthology.aclweb.org

Language: English - Date: 2015-09-09 11:04:44
13REGULARIZATION OF CONTEXT-DEPENDENT DEEP NEURAL NETWORKS WITH CONTEXT-INDEPENDENT MULTI-TASK TRAINING Peter Bell and Steve Renals Centre for Speech Technology Research, University of Edinburgh, Edinburgh EH8 9AB, UK ABST

REGULARIZATION OF CONTEXT-DEPENDENT DEEP NEURAL NETWORKS WITH CONTEXT-INDEPENDENT MULTI-TASK TRAINING Peter Bell and Steve Renals Centre for Speech Technology Research, University of Edinburgh, Edinburgh EH8 9AB, UK ABST

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Source URL: www.cstr.ed.ac.uk

Language: English - Date: 2015-09-29 11:06:25
14Deep Belief Networks for phone recognition  Abdel-rahman Mohamed, George Dahl, and Geoffrey Hinton Department of Computer Science University of Toronto {asamir,gdahl,hinton}@cs.toronto.edu

Deep Belief Networks for phone recognition Abdel-rahman Mohamed, George Dahl, and Geoffrey Hinton Department of Computer Science University of Toronto {asamir,gdahl,hinton}@cs.toronto.edu

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Source URL: www.cs.utoronto.ca

Language: English - Date: 2009-11-25 20:25:23
15SUBMITTED TO IEEE TRANS. ON AUDIO, SPEECH, AND LANGUAGE PROCESSING  1 Acoustic Modeling using Deep Belief Networks Abdel-rahman Mohamed, George E. Dahl, and Geoffrey Hinton

SUBMITTED TO IEEE TRANS. ON AUDIO, SPEECH, AND LANGUAGE PROCESSING 1 Acoustic Modeling using Deep Belief Networks Abdel-rahman Mohamed, George E. Dahl, and Geoffrey Hinton

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Source URL: www.cs.toronto.edu

Language: English - Date: 2011-03-01 16:37:24
16COMPARING MULTILAYER PERCEPTRON TO DEEP BELIEF NETWORK TANDEM FEATURES FOR ROBUST ASR Oriol Vinyals1,2 , Suman V. Ravuri1,2 1  2

COMPARING MULTILAYER PERCEPTRON TO DEEP BELIEF NETWORK TANDEM FEATURES FOR ROBUST ASR Oriol Vinyals1,2 , Suman V. Ravuri1,2 1 2

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Source URL: www1.icsi.berkeley.edu

Language: English - Date: 2010-10-21 02:50:56
17MLSS Tutorial on:  Deep Belief Nets (An updated and extended version of my 2007 NIPS tutorial) Geoffrey Hinton Canadian Institute for Advanced Research

MLSS Tutorial on: Deep Belief Nets (An updated and extended version of my 2007 NIPS tutorial) Geoffrey Hinton Canadian Institute for Advanced Research

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Source URL: files.meetup.com

Language: English - Date: 2014-11-23 11:38:46
18SUBMITTED TO IEEE TRANS. ON AUDIO, SPEECH, AND LANGUAGE PROCESSING  1 Acoustic Modeling using Deep Belief Networks Abdel-rahman Mohamed, George E. Dahl, and Geoffrey Hinton

SUBMITTED TO IEEE TRANS. ON AUDIO, SPEECH, AND LANGUAGE PROCESSING 1 Acoustic Modeling using Deep Belief Networks Abdel-rahman Mohamed, George E. Dahl, and Geoffrey Hinton

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Source URL: www.cs.toronto.edu

Language: English - Date: 2011-03-01 16:37:24
19UNDERSTANDING HOW DEEP BELIEF NETWORKS PERFORM ACOUSTIC MODELLING Abdel-rahman Mohamed, Geoffrey Hinton, and Gerald Penn Department of Computer Science, University of Toronto ABSTRACT Deep Belief Networks (DBNs) are a ve

UNDERSTANDING HOW DEEP BELIEF NETWORKS PERFORM ACOUSTIC MODELLING Abdel-rahman Mohamed, Geoffrey Hinton, and Gerald Penn Department of Computer Science, University of Toronto ABSTRACT Deep Belief Networks (DBNs) are a ve

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Source URL: www.cs.toronto.edu

Language: English - Date: 2012-09-17 19:52:25
20UCL Tutorial on:  Deep Belief Nets (An updated and extended version of my 2007 NIPS tutorial) Geoffrey Hinton Canadian Institute for Advanced Research

UCL Tutorial on: Deep Belief Nets (An updated and extended version of my 2007 NIPS tutorial) Geoffrey Hinton Canadian Institute for Advanced Research

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Source URL: www.cs.toronto.edu

Language: English - Date: 2009-07-18 13:52:46