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Deep learning
Results: 859

#	Item
431	Learning the Structure of Deep Sparse Graphical Models Ryan Prescott Adams University of Toronto Hanna M. Wallach Add to Reading List Source URL: dirichlet.net Language: English - Date: 2014-10-13 11:25:00
432	Artificial Neural Networks and Deep Learning Jack Baker STOR-i CDT, Lancaster University 3. Motivation Add to Reading List Source URL: www.lancaster.ac.uk Language: English - Date: 2015-02-18 05:00:43
433	Computational Photography x Deep Learning モバイルカメラへの応用 2016年2月9日株式会社モルフォ Add to Reading List Source URL: www.obci.jp Language: English - Date: 2016-02-09 21:19:53
434	PhD Studentship – Deep Learning for Natural Language Generation Closing Date: 18th April 2016 Add to Reading List Source URL: adaptcentre.ie Language: English - Date: 2016-03-09 08:57:44
435	Deep Reinforcement Learning John Schulman 1 MLSS, May 2016, Cadiz Add to Reading List Source URL: learning.mpi-sws.org Language: English - Date: 2016-05-21 06:35:54
436	CS231n Project Report Deep Learning of Spatial and Temporal Features for Automotive Prediction Jeremy Morton and Tim Allan Wheeler Stanford University Stanford CA, 94305 USA {jmorton2, wheelert}@stanford.edu Add to Reading List Source URL: cs231n.stanford.edu Language: English - Date: 2016-03-23 18:05:39
437	Deep learning approaches to problems in speech recognition, computational chemistry, and natural language text processing by George Edward Dahl Add to Reading List Source URL: www.cs.toronto.edu Language: English - Date: 2015-04-03 01:25:31
438	Microsoft PowerPoint - Quantinum Technical Overview EN Add to Reading List Source URL: www.quantinum.com Language: English - Date: 2016-05-27 01:17:31 Data management Business intelligence Formal sciences Big data Transaction processing Machine learning Analytics Apache Hadoop Deep learning Aster Data Systems Abzooba
439	Distributed Representations of Words and Phrases and their Compositionality Tomas Mikolov Google Inc. Mountain View Add to Reading List Source URL: papers.nips.cc Language: English - Date: 2014-11-25 16:07:00 Artificial neural networks Artificial intelligence Learning Machine learning Computational linguistics Computational neuroscience Language modeling Word2vec Word embedding Deep learning Softmax function Language model
440	A Machine Learning Approach to Visual Perception of Forest Trails for Mobile Robots Add to Reading List Source URL: rpg.ifi.uzh.ch Language: English - Date: 2016-02-08 05:52:19 Computational neuroscience Applied mathematics Formal sciences Cybernetics Cognitive science Academia Artificial neural networks Computer vision Deep learning Robotics Convolutional neural network Optical flow

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