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Deep learning
Results: 859

#	Item
551	Simularity Brings Real Time Deep Learning To The Edges Of The Internet Of Things Deep Learning For The Connected World Predict events and detect anomalies in real time, using deep distributed learning, on massive time s Add to Reading List Source URL: simularity.com Language: English - Date: 2015-03-20 01:37:38 Information technology management Computing Anomaly detection Data security Scalability Neural network Statistics Computational neuroscience Data mining
552	Poster: Deep Learning for Zero-day Flash Malware Detection Wookhyun Jung Sangwon Kim Add to Reading List Source URL: www.ieee-security.org Language: English - Date: 2015-05-11 16:42:29 Graphics file formats Animation software Cross-platform software Web development software SWF Malware Vulnerability ActionScript Cross-site scripting Software Computing Adobe Flash
553	ACCELERATED COMPUTING & DEEP LEARNING Sumit Gupta GM, Tesla Accelerated Computing February 2014 Add to Reading List Source URL: hpcadvisorycouncil.com Language: English - Date: 2015-02-02 17:45:36
554	Convolutional Deep Belief Networks for Scalable Unsupervised Learning of Hierarchical Representations Honglak Lee Roger Grosse Rajesh Ranganath Add to Reading List Source URL: www.cs.toronto.edu Language: English - Date: 2015-06-03 15:15:50 Artificial intelligence Information Plasma physics Space plasmas OSI protocols Boltzmann machine Unsupervised learning Pattern recognition Data link layer Machine learning Neural networks Data
555	Elimination of climbing fiber instructive signals during motor learning Add to Reading List Source URL: raymondlab.weebly.com Language: English - Date: 2014-11-05 16:24:40 Cerebellum Neurophysiology Neuroscience Computational neuroscience Electrophysiology Purkinje cell Climbing fiber Mossy fiber Deep cerebellar nuclei Anatomy Brain Biology
556	Under review as a conference paper at ICLRT RAINING DEEP NEURAL NETWORKS ON NOISY LABELS WITH BOOTSTRAPPING Scott E. Reed & Honglak Lee Dept. of Electrical Engineering and Computer Science, University of Michigan Add to Reading List Source URL: www-personal.umich.edu Language: English - Date: 2015-02-07 17:31:33 Statistical inference Ensemble learning Resampling Bootstrapping Semi-supervised learning Supervised learning Bootstrap aggregating Cross-validation Neural network Statistics Machine learning Computational statistics
557	Modeling Local and Global Deformations in Deep Learning: Epitomic Convolution, Multiple Instance Learning, and Sliding Window Detection George Papandreou Google Iasonas Kokkinos and Pierre-Andr´e Savalle Add to Reading List Source URL: www.cv-foundation.org Language: English - Date: 2015-05-25 21:19:04 Convolution Epitome Neural network Statistical classification Network architecture Segmentation Knowledge Image processing Mathematics Statistics
558	CTL Graduate TA and Postdoctoral Fellows Workshop Series on Teaching Fall 2014 How to Learn Deeply and Foster Deep Learning in Others Presenter(s): Lead by Ken Bain Add to Reading List Source URL: www.ctl.uga.edu Language: English - Date: 2014-06-30 10:39:26
559	TEACHING TIP EDUCATIONAL DEVELOPMENT CENTRE GETTING THE MOST OUT OF GROUP WORK Learning theories stress that social engagement with others about new material is key to effective and deep learning: students Add to Reading List Source URL: carleton.ca - Date: 2014-01-21 09:53:51
560	Multimodal Learning with Deep Boltzmann Machines Nitish Srivastava Department of Computer Science University of Toronto Add to Reading List Source URL: papers.nips.cc - Date: 2014-11-26 14:29:26

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