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Deep learning
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#	Item
241	D:/Dropbox/paper_work/deepvis/camera_ready/Real-Time Visual Analytics for Convolutional Neural Network.dvi Add to Reading List Source URL: poloclub.gatech.edu Language: English - Date: 2016-07-22 15:05:18 Artificial neural networks Computational neuroscience Cybernetics Applied mathematics Artificial intelligence Convolutional neural network Deep learning Speech recognition Filter Boltzmann machine Time delay neural network Convolutional Deep Belief Networks
242	Deep Learning for Laser Based Odometry Estimation Austin Nicolai, Ryan Skeele, Christopher Eriksen, and Geoffrey A. Hollinger Robotics Program School of Mechanical, Industrial, & Manufacturing Engineering Oregon State Un Add to Reading List Source URL: juxi.net Language: English - Date: 2016-06-17 11:44:51 Artificial neural networks Computational neuroscience Artificial intelligence Cybernetics Applied mathematics Machine learning Robotic sensing Computer vision Convolutional neural network Deep learning Visual odometry Convolutional Deep Belief Networks
243	Under review as a conference paper at ICLRU NIVERSALITY IN HALTING TIME AND ITS APPLICATIONS IN OPTIMIZATION Levent Sagun, Thomas Trogdon & Yann LeCun Courant Institute of Mathematical Sciences Add to Reading List Source URL: dl.dropboxusercontent.com Language: English Statistics Mathematical analysis Probability Probability distributions Kurtosis Skewness Deep learning Gradient descent Normal distribution
244	Attend, Infer, Repeat: Fast Scene Understanding with Deep Generative Models S. M. Ali Eslami David Szepesvari Add to Reading List Source URL: juxi.net Language: English - Date: 2016-06-17 11:44:38 Artificial neural networks Statistics Artificial intelligence Applied mathematics Cybernetics Computational neuroscience Computational statistics Deep learning Graphical models Bayesian network Pattern recognition Computer vision
245	The rise of automatic feature-generation techniques, including deep learning, has the potential to greatly enlarge the pool of machinelearning users. Such methods require large labeled training sets to obtain high-qualit Add to Reading List Source URL: mmds-data.org Language: English - Date: 2016-06-23 15:50:48 Education Educational psychology Technology Computational neuroscience Formal sciences Science and technology Distance education Educational technology Information technology Deep learning Artificial intelligence
246	arXiv:1602.03935v2 [cs.CV] 21 JunFace Attribute Prediction Using Off-the-Shelf CNN Features Yang Zhong Josephine Sullivan Add to Reading List Source URL: arxiv.org Language: English - Date: 2016-06-21 21:29:10 Computational neuroscience Artificial neural networks Applied mathematics Cybernetics Neuroscience Computer vision Convolutional neural network Deep learning Receptive field Artificial intelligence Object Process Methodology
247	Presented by WCCI 2014 Tutorial Abstract Add to Reading List Source URL: www.conference123.org Language: English - Date: 2014-07-16 23:21:37 Concurrent computing Computing Parallel computing Computer architecture Graphics hardware GPGPU Video cards Graphics processing unit CUDA General-purpose computing on graphics processing units Deep learning
248	Sequence to Sequence Learning Quoc V. Le brain vision summit joint work with many Google Brain collaborators Add to Reading List Source URL: cs224d.stanford.edu Language: English - Date: 2016-06-10 23:15:15 Deep learning Free statistical software TensorFlow Software Application software
249	PDF Document Add to Reading List Source URL: www.cs.cmu.edu Language: English - Date: 2015-11-17 16:47:15 Artificial neural networks Applied mathematics Cybernetics Cognitive science Parsing Deep learning LL parser Word embedding Recursive neural network Recurrent neural network Long short-term memory Sepp Hochreiter
250	Deep-Sea Research I}294 A comparison of the quantity and composition of material caught in a neutrally buoyant versus surface-tethered sediment trap Ken O. Buesseler!,, Deborah K. Steinberg", Add to Reading List Source URL: usjgofs.whoi.edu Language: English* - Date: 2001-06-25 11:11:51 Sediment trap Trap Learning

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