Deep learning

Results: 859



#Item
271Artificial neural networks / Applied mathematics / Cybernetics / Artificial intelligence / Deep learning / Vanishing gradient problem / Recurrent neural network / Long short-term memory / Rectifier / Sepp Hochreiter / Activation function / Feature learning

Workshop track - ICLRU NDERSTANDING VERY DEEP NETWORKS VIA VOLUME CONSERVATION Thomas Unterthiner & Sepp Hochreiter Institute of Bioinformatics

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Source URL: www.bioinf.jku.at

Language: English - Date: 2016-04-06 05:13:16
272Computational neuroscience / 3D computer graphics / Imaging / Artificial neural networks / Cybernetics / Neuroscience / Visual effects / Computer vision / Convolutional neural network / Deep learning / Receptive field / 3D modeling

arXiv:1607.05695v3 [cs.CV] 2 AugFusionNet: 3D Object Classification Using Multiple Data Representations Vishakh Hegde Stanford and Matroid

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Source URL: matroid.com

Language: English - Date: 2016-08-06 03:04:23
273Computational neuroscience / Artificial intelligence / Cybernetics / Neuroscience / Artificial neural networks / Formal sciences / Machine learning / Computer vision / Convolutional neural network / Deep learning / Robotics / Pattern recognition

A deep-network solution towards model-less obstacle avoidance Lei Tai1 , Shaohua Li2 , Ming Liu1,2 Abstract— Obstacle avoidance is the core problem for mobile robots. Its objective is to allow mobile robots to explore

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Source URL: ram-lab.com

Language: English - Date: 2016-08-03 06:46:08
274Artificial neural networks / Artificial intelligence / Machine learning / Computational neuroscience / Computational linguistics / Cybernetics / Artificial intelligence applications / Computer-assisted translation / Deep learning / Long short-term memory / Recurrent neural network / Speech recognition

arXiv:1409.3215v3 [cs.CL] 14 Dec 2014

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Source URL: arxiv.org

Language: English - Date: 2014-12-15 20:32:58
275Statistics / Statistical theory / Bayesian statistics / Bayesian inference / Prior probability / Robust Bayesian analysis / Artificial neural network / Deep learning / Variational Bayesian methods / Machine learning / Naive Bayes classifier / Bayesian network

Big DataConference Program Monday, August 22 9:00-9:50am Yiling Chen, Harvard University Title: “Machine Learning with Strategic Data Sources”

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Source URL: cmsa.fas.harvard.edu

Language: English - Date: 2016-08-03 13:09:29
276Computational neuroscience / Neuroscience / Artificial neural networks / Cybernetics / Cognition / Machine learning / Computational statistics / Hebbian theory / Autoencoder / Deep learning / Feature learning / Unsupervised learning

Fully Autonomous Real-Time Autoencoder-Augmented Hebbian Learning through the Collection of Novel Experiences To appear in: Proc. of the Fifteenth International Conference on the Synthesis and Simulation of Living System

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Source URL: eplex.cs.ucf.edu

Language: English - Date: 2016-04-27 14:27:24
277Artificial neural networks / Cybernetics / Applied mathematics / Machine learning / Recurrent neural network / Deep learning / Feedforward neural network / Long short-term memory / Convolutional neural network / Backpropagation / Connectionism / Restricted Boltzmann machine

arXiv:1506.00019v4 [cs.LG] 17 OctA Critical Review of Recurrent Neural Networks for Sequence Learning Zachary C. Lipton

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Source URL: arxiv.org

Language: English - Date: 2015-10-19 21:37:55
278Artificial neural networks / Computational neuroscience / Computational statistics / Applied mathematics / Cybernetics / Cognitive science / Spiking neural network / Deep learning / Glenfiddich / Machine learning / Recurrent neural network / Speech recognition

Robert Gordon University, Sir Ian Wood Building Garthdee Road, Aberdeen, AB10 7GJ UK, Scotland Friday 2nd September 2016 Start Time

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Source URL: www.eann.org.uk

Language: English - Date: 2016-08-11 07:57:24
279Computational neuroscience / Artificial intelligence / Machine learning / Statistical classification / Artificial neural networks / Cognitive science / Learning / Computer vision / Convolutional neural network / Support vector machine / Classifier / Deep learning

Team APL: Intelligent Fusion of CNN Ensembles Christopher M. Gifford, Pedro A. Rodriguez, Ryan Amundsen, Stefan Awad, Brant Chee, Clare Lau, Ajay Patrikar The Johns Hopkins University Applied Physics Laboratory (JHU/APL)

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Source URL: image-net.org

Language: English - Date: 2015-12-16 23:04:56
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