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Deep learning
Results: 859

#	Item
291	Speeding up Automatic Hyperparameter Optimization of Deep Neural Networks by Extrapolation of Learning Curves Add to Reading List Source URL: ijcai.org Language: English - Date: 2016-02-13 07:15:40 Artificial intelligence Computational neuroscience Artificial neural networks Applied mathematics Cognitive science Machine learning Cybernetics Model selection Convolutional neural network Hyperparameter optimization Deep learning MNIST database
292	Hierarchical Memory Networks Sarath Chandar∗ 1 , Sungjin Ahn1 , Hugo Larochelle2,4 , Pascal Vincent1,4 , Gerald Tesauro3 , Yoshua Bengio1,4 arXiv:1605.07427v1 [stat.ML] 24 May 2016 Add to Reading List Source URL: arxiv.org Language: English - Date: 2016-05-24 20:30:33 Computational neuroscience Artificial neural networks Cognitive science Applied mathematics Neuroscience Machine learning Advanced RISC Computing MIPS Technologies Deep learning MIPS instruction set Softmax function Word embedding
293	Eurographics Workshop on 3D Object RetrievalJ. Jorge and M. Lin (Guest Editors) SHREC’16 Track Large-Scale 3D Shape Retrieval from ShapeNet Core55 M. Savva1∗ , F. Yu2∗ , Hao Su1∗ , M. Aono8 , B. Chen6 , D Add to Reading List Source URL: vis-www.cs.umass.edu Language: English - Date: 2016-06-14 23:38:33 Computational neuroscience Artificial neural networks Cybernetics Computer vision Applied mathematics Neuroscience Convolutional neural network Artificial intelligence Deep learning Information retrieval British Machine Vision Conference
294	MORPHOLOGICAL CLASSIFICATION OF GALAXIES INTO SPIRALS AND NON-SPIRALS Devendra Singh Dhami Submitted to the faculty of the University Graduate School in partial fulfillment of the requirements for the degree Add to Reading List Source URL: homes.soic.indiana.edu Language: English - Date: 2015-05-06 17:19:49 Machine learning Artificial intelligence Ensemble learning Learning Extragalactic astronomy Boosting Hubble sequence AdaBoost Deep learning Galaxy morphological classification Galaxy Weka
295	Synthesizing Dynamic Textures and Sounds by Spatial-Temporal Generative ConvNet arXiv:submitstat.ML] 3 JunJianwen Xie, Song-Chun Zhu, Ying Nian Wu Add to Reading List Source URL: www.stat.ucla.edu Language: English - Date: 2016-06-03 12:22:45 Artificial neural networks Computational neuroscience Cybernetics Mathematics Applied mathematics Convolutional neural network Recurrent neural network Convolution Backpropagation Deep learning
296	When Are Tree Structures Necessary for Deep Learning of Representations? Jiwei Li1 , Minh-Thang Luong1 , Dan Jurafsky1 and Eduard Hovy2 Computer Science Department, Stanford University, Stanford, CALanguage Tech Add to Reading List Source URL: nlp.stanford.edu Language: English - Date: 2015-10-31 15:44:36 Computational linguistics Linguistics Artificial neural networks Artificial intelligence Computational science Semantics Natural language processing Deep learning Recursive neural network Recurrent neural network Parsing Speech recognition
297	Gaussian Free Cluster Tree Construction using Deep Neural Network Linchen Zhu, Kevin Kilgour, Sebastian St¨uker, Alex Waibel International Center for Advanced Communication Technologies - InterACT, Institute of Anthropo Add to Reading List Source URL: isl.anthropomatik.kit.edu Language: English - Date: 2015-09-10 06:13:32 Machine learning Artificial intelligence Markov models Learning Automatic identification and data capture Computer accessibility Speech recognition Mixture model Cluster analysis Language model Janus Recognition Toolkit Viterbi algorithm
298	DeepLearningKit - an Open Source Deep Learning Framework for Apple’s iOS, OS X and tvOS developed in Metal and Swift Amund Tveit∗ Memkite Add to Reading List Source URL: deeplearningkit.org Language: English - Date: 2016-01-03 10:16:59 Computing Software IOS Parallel computing Artificial neural networks GPGPU Computational neuroscience Convolutional neural network Metal Deep learning General-purpose computing on graphics processing units OpenCL
299	M OTIVATION • Deep feature learning is heavily co-related with sample selection, while some outliers or hard samples may degenerate the performance. An interesting problem arises, which is the focus of this work: How t Add to Reading List Source URL: image-net.org Language: English - Date: 2015-12-16 23:04:50 Research ImageNet Experiment Greedy Algorithm Randomness
300	Grasp Pose Detection in Dense Clutter Using Deep Learning Marcus Gualtieri† , Andreas ten Pas† , Kate Saenko‡ , Robert Platt† of Computer and Information Science, Northeastern University ‡ Department of Compute Add to Reading List Source URL: juxi.net Language: English - Date: 2016-06-17 12:14:31 Computer vision Artificial neural networks Robot kinematics Child development Grasp Pose Robot end effector Robotics Degrees of freedom Convolutional neural network

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