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Deep learning
Results: 859

#	Item
261	Deep Learning in Partially-labeled Data Streams Jesse Read Aalto University and HIIT Helsinki, Finland Fernando Perez-Cruz Add to Reading List Source URL: users.ics.aalto.fi Language: English - Date: 2014-12-09 08:08:51 Machine learning Learning Artificial intelligence Artificial neural networks Statistical classification Data mining Deep learning K-nearest neighbors algorithm Multi-label classification Deep belief network Restricted Boltzmann machine Concept drift
262	Self-Supervised Deep Visuomotor Learning from Motor Unit Feedback Jay Ming Wong∗ , Takeshi Takahashi∗ , Roderic A. Grupen Laboratory for Perceptual Robotics College of Information and Computer Sciences, University of Add to Reading List Source URL: juxi.net Language: English - Date: 2016-06-17 11:45:04 Computational neuroscience Applied mathematics Cybernetics Artificial neural networks Cognitive science Computer vision Convolutional neural network Deep learning Artificial intelligence Humanoid robot Robotics Machine learning
263	Database Meets Deep Learning: Challenges and Opportunities Wei Wang† , Meihui Zhang‡ , Gang Chen§ , H. V. Jagadish# , Beng Chin Ooi† , Kian-Lee Tan† † Add to Reading List Source URL: www.comp.nus.edu.sg Language: English - Date: 2016-08-03 01:23:00 Computing Concurrent computing Parallel computing Applied mathematics Computational linguistics Computational neuroscience Formal sciences Artificial neural networks Deep learning Machine learning Database Recurrent neural network
264	Paper presented at the TLRP Conference, Leicester, NovemberPromoting deep learning through teaching and assessment: conceptual frameworks and educational contexts. Noel Entwistle University of Edinburgh Add to Reading List Source URL: www.etl.tla.ed.ac.uk Language: English - Date: 2006-11-09 19:00:00 Education Educational psychology Noel Entwistle Active learning Learning environment Educational technology Student approaches to learning Formative assessment
265	Continuous Deep Q-Learning with Model-based Acceleration arXiv:1603.00748v1 [cs.LG] 2 Mar 2016 Shixiang Gu1 2 3 SG 717@ CAM . AC . UK Add to Reading List Source URL: arxiv.org Language: English - Date: 2016-03-02 20:31:58 Artificial intelligence Machine learning Computational neuroscience Learning Applied mathematics Artificial neural network Mathematical psychology Q-learning Reinforcement learning Supervised learning Feature learning Temporal difference learning
266	Exploring the Limits of Language Modeling arXiv:1602.02410v2 [cs.CL] 11 Feb 2016 Rafal Jozefowicz Oriol Vinyals Add to Reading List Source URL: arxiv.org Language: English - Date: 2016-02-14 20:03:03 Artificial neural networks Artificial intelligence Computational neuroscience Applied mathematics Machine learning Language modeling Computational linguistics Deep learning Recurrent neural network Word embedding Speech recognition Long short-term memory
267	A Practical Introduction to Deep Learning with Caffe Peter Anderson, ACRV, ANU www.roboticvision.org ARC Centre of Excellence Add to Reading List Source URL: www.panderson.me Language: English - Date: 2016-07-29 21:23:37 Software Computing Application software Parallel computing Graphics hardware GPGPU Video cards Deep learning CUDA Nvidia MATLAB Convolution
268	23rd European Symposium on Artificial Neural Networks (ESANN), Bruges, Belgium, AprilDepth and Height Aware Semantic RGB-D Perception with Convolutional Neural Networks Hannes Schulz, Nico H¨ oft, and Sven Behnk Add to Reading List Source URL: www.ais.uni-bonn.de Language: English - Date: 2015-02-24 15:40:22 Computational neuroscience Computer vision Artificial neural networks Cybernetics Applied mathematics Convolutional neural network Neuroscience Image processing Image segmentation RGB color model Deep learning
269	AITF ANNUAL REPORT 2016 DR. RICHARD SUTTON REINFORCEMENT LEARNING AND ARTIFICIAL INTELLIGENCE AITF ANNUAL REPORT MARCH 31, EXECUTIVE SUMMARY Add to Reading List Source URL: webdocs.cs.ualberta.ca Language: English - Date: 2016-05-16 19:35:21 Computational neuroscience Applied mathematics Cybernetics Cognitive science Neuroscience Belief revision Reinforcement learning Machine learning Artificial neural network Temporal difference learning Deep learning Reinforcement
270	Minimum trajectory error training for deep neural networks, combined with stacked bottleneck features Zhizheng Wu Simon King Add to Reading List Source URL: www.cstr.inf.ed.ac.uk Language: English Computational linguistics Humancomputer interaction Machine learning Artificial intelligence Speech recognition Speech synthesis Recurrent neural network Artificial neural network Acoustic model Digital News Network Hidden Markov model

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