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Nature article from 2015 by LeCun, Bengio and Hinton

Attributes	Values
rdf:type	Item
description	artículu científicu espublizáu en 2015 (ast) 2015 թուականի Մայիսին հրատարակուած գիտական յօդուած (hyw) наукова стаття, опублікована в травні 2015 (uk) 2015 թվականի մայիսին հրատարակված գիտական հոդված (hy) article publié dans la revue scientifique Nature (fr) wetenschappelijk artikel (gepubliceerd op 2015/05/28) (nl) im Mai 2015 veröffentlichter wissenschaftlicher Artikel (de) Nature article from 2015 by LeCun, Bengio and Hinton (en) artykuł naukowy opublikowany w Nature 28 maja 2015 (pl)
publication date	wds:Q28018765-0e7356ca-45a2-51f3-4ef4-005940af78d9
publication date	2015-05-28 00:00:00Z (xsd:dateTime)
language of work or name	wds:Q28018765-9CBD9109-57B3-49A9-B22F-22CABDF85C9D
language of work or name	English
cites work	wds:Q28018765-080e7572-4156-e46a-0a17-cc3e876170a3 wds:Q28018765-0DCECD14-CF6D-485B-BAE6-455E8297F8A3 wds:Q28018765-181569f3-4ae6-f4ff-9971-6db469676ba1 wds:Q28018765-1885A177-9AE0-4612-B4EA-BC4DE64F1971 wds:Q28018765-1A84FF41-E724-4978-8CB5-7E98A99DF779 wds:Q28018765-3E32238F-1457-4122-90D5-45C3192C5546 wds:Q28018765-3E369040-30F8-4CC2-984C-98CD01E02BFB wds:Q28018765-3F3A146F-1043-4605-8296-09E25AFD5B39 wds:Q28018765-44BDEA28-9C8C-4D64-AADE-02D71E16FFB3 wds:Q28018765-52901A89-6577-4122-9A2F-7E6635F8977B wds:Q28018765-5EF0B439-6F52-4B3D-8105-5B57B5BC8CC8 wds:Q28018765-5c28c585-498a-9165-7cf7-0cf1295b104a wds:Q28018765-618A27ED-C546-4ED9-995D-499693BF31D5 wds:Q28018765-6C826A35-A31C-4FD3-8DCD-F7EBF8BADF2C wds:Q28018765-7bd8c85c-4b72-b674-71c8-636dd62ee3d9 wds:Q28018765-873e9e3e-4fce-4a03-0165-66a393ed2921 wds:Q28018765-8C46EF3F-BE82-4BC0-BF25-292C00A063B1 wds:Q28018765-8CEE0D2D-715D-457E-9AFB-BD953B79F969 wds:Q28018765-9416681C-4D97-428A-AA0C-9FCC4465C137 wds:Q28018765-9EA2BCDA-E960-4889-B10F-03D82854AFF9 wds:Q28018765-A2968701-5D71-4458-8968-4DC20A82C8D8 wds:Q28018765-C06482C5-83FA-43D6-8C27-E0B9E7B6A439 wds:Q28018765-C1FCE017-35CC-41FD-90C6-FAB869437B50 wds:Q28018765-C5E7B2FF-0462-4669-BA13-E7FE52185AF1 wds:Q28018765-C8F8C47E-7582-4FA9-B041-C434DF461800 wds:Q28018765-CC768C5D-B949-4BEB-B7B0-E5366886567B wds:Q28018765-D10A74B6-A320-4482-9D67-6D700BD3701E wds:Q28018765-DB140AFE-8C6F-49B4-82AE-97E77B498CC2 wds:Q28018765-EBDA3559-3DBC-4881-9772-550E6E42A00E wds:Q28018765-EC62067B-267B-4C92-B4E0-76D5276E8B74 wds:Q28018765-d23df874-457f-217c-6ef7-a0fd377ec850 wds:Q28018765-d98f52bb-4af9-10e5-6b83-388030a4f67b wds:Q28018765-f49374ac-4399-6c4c-5209-7fdc2b5b8b0d
cites work	Reducing the dimensionality of data with neural networks Deep learning of the tissue-regulated splicing code A fast learning algorithm for deep belief nets RNA splicing. The human splicing code reveals new insights into the genetic determinants of disease Distributed hierarchical processing in the primate cerebral cortex Preface: Cerebral Cortex Has Come of Age Learning representations by back-propagating errors Connectomic reconstruction of the inner plexiform layer in the mouse retina Receptive fields, binocular interaction and functional architecture in the cat's visual cortex Multi-column deep neural network for traffic sign classification Deep Neural Networks for Acoustic Modeling in Speech Recognition: The Shared Views of Four Research Groups Human-level control through deep reinforcement learning Representation learning: a review and new perspectives Convolutional networks can learn to generate affinity graphs for image segmentation. Gradient-based learning applied to document recognition Face recognition: a convolutional neural-network approach Phoneme recognition using time-delay neural networks Long short-term memory Learning long-term dependencies with gradient descent is difficult. Modeling Natural Images Using Gated MRFs Learning hierarchical features for scene labeling. Deep neural networks rival the representation of primate IT cortex for core visual object recognition. The "wake-sleep" algorithm for unsupervised neural networks. Deep neural nets as a method for quantitative structure-activity relationships Toward automatic phenotyping of developing embryos from videos. Show, Attend and Tell: Neural Image Caption Generation with Visual Attention Convolutional face finder: a neural architecture for fast and robust face detection. Acoustic Modeling Using Deep Belief Networks Deep Generative Stochastic Networks Trainable by Backprop From Machine Learning to Machine Reasoning Visualizing Data using t-SNE Multiple Object Recognition with Visual Attention Semi-supervised learning with deep generative models
OpenCitations bibliographic resource ID	wds:Q28018765-A1EF03B7-63E4-422A-8715-6D11F650AFEA
OpenCitations bibliographic resource ID	https://w3id.org/oc/corpus/br/469969
OpenCitations bibliographic resource ID	469969
rdfs:label	Deep learning (da) Deep learning (en) Deep learning (nl) Deep learning (de) Deep learning (fo) Deep learning (fr) Deep learning (is) Deep learning (kl) Deep learning (nb) Deep learning (nn) Deep learning (sv) Deep learning (ast)
skos:prefLabel	Deep learning (da) Deep learning (en) Deep learning (nl) Deep learning (de) Deep learning (fo)

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