About: Deep learning in neural networks: an overview

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scientific article published in the journal 'Neural Networks'

Attributes	Values
rdf:type	Item
description	wetenschappelijk artikel (nl) artículu científicu espublizáu en 2014 (ast) 2014 թուականի Հոկտեմբերին հրատարակուած գիտական յօդուած (hyw) 2014 թվականի հոտեմբերին հրատարակված գիտական հոդված (hy) наукова стаття, опублікована в жовтні 2014 (uk) مقالة علمية نشرت بتاريخ 13-10-2014 (ar) scientific article published in the journal 'Neural Networks' (en)
publication date	wds:Q34451415-BCF1323C-0531-4245-B8E5-C979473B5E67
publication date	2014-10-13 00:00:00Z (xsd:dateTime)
language of work or name	wds:Q34451415-acefeae9-4cd5-750f-ce78-0f19f10c6f2c
language of work or name	English
cites work	wds:Q34451415-0506d238-4014-d32d-f043-dc6e35c7c8fc wds:Q34451415-4869a707-4608-69b7-7159-eb81eefeaa31 wds:Q34451415-4b8ac266-4fcb-5bca-f468-3a0dc6bb5a27 wds:Q34451415-52bb0561-4e47-362c-2efc-2a0dbb0b1cf1 wds:Q34451415-809f81d9-4350-0eab-db64-dcdb1be5768e
cites work	An Algorithm for Least-Squares Estimation of Nonlinear Parameters Representation learning: a review and new perspectives A Rapidly Convergent Descent Method for Minimization On the Length of Programs for Computing Finite Binary Sequences The strength of weak learnability
rdfs:label	Deep learning in neural networks: an overview (en) Deep learning in neural networks: an overview (nl) Deep learning in neural networks: an overview (ast)
skos:prefLabel	Deep learning in neural networks: an overview (en) Deep learning in neural networks: an overview (nl) Deep learning in neural networks: an overview (ast)
name	Deep learning in neural networks: an overview (en) Deep learning in neural networks: an overview (nl) Deep learning in neural networks: an overview (ast)
based on	Deep Learning in Neural Networks: An Overview
author	wds:Q34451415-773F8264-CA04-4CFC-917C-290BA801D22A
author	Jürgen Schmidhuber
title	wds:Q34451415-5E49ECC4-D578-4826-AB97-E195A87FF954
title	Deep learning in neural networks: an overview (en)
page(s)	wds:Q34451415-DA733D3F-7383-4AB1-A07D-4143B8847B1D
page(s)	85-117
Internet Archive ID	wds:Q34451415-60EDC13E-8C5D-4179-B0A4-845DEA902453
Internet Archive ID	arxiv-1404.7828
instance of	wds:Q34451415-2D4C4210-BDC1-4972-A52A-EB7F01A47EE6 wds:Q34451415-3c7f0f4e-a218-4f24-a98c-9327f36844d4
instance of	review article scholarly article
based on	wds:Q34451415-4a25154f-4739-a152-bdb0-9ded5a080093
main subject	wds:Q34451415-2E387971-5B3D-4629-A26E-B20863DB32BD wds:Q34451415-A8928E40-0712-45B4-A4D4-90D7ECFDF09D
main subject	deep learning deep neural network
PubMed ID	wds:Q34451415-688CEFE4-2EB4-4259-8AAC-46B7308B5EF9
PubMed ID	http://rdf.ncbi.nlm.nih.gov/pubchem/reference/25462637
PubMed ID	25462637
DBLP publication ID	wds:Q34451415-2E0CD8A7-5888-403F-8D32-D09295842C01
DBLP publication ID	https://dblp.org/rec/journals/nn/Schmidhuber15
DBLP publication ID	journals/nn/Schmidhuber15
published in	wds:Q34451415-FCBB6871-F33F-4566-99C7-6E652B296C63
published in	Neural Networks
volume	wds:Q34451415-BCEBECAB-ADB3-40E1-8D3C-B3FA318F6443
volume	61
number of pages	wds:Q34451415-b4007bfb-42ef-6729-3a72-6d41a1717387
number of pages	33 (xsd:decimal)
DOI	wds:Q34451415-EFED4568-7D87-4950-AD33-391ECFCB52DC
DOI	http://dx.doi.org/10.1016/J.NEUNET.2014.09.003
DOI	10.1016/J.NEUNET.2014.09.003
official website	wds:Q34451415-3e4f113c-490b-c810-3753-ebe6cd0de0bd
official website	http://www.sciencedirect.com/science/article/pii/S0893608014002135
first line	wds:Q34451415-a19d2d77-42ed-6b0e-91a6-e3c712d1b518
first line	In recent years, deep artificial neural networks (including recurrent ones) have won numerous contests in pattern recognition and machine learning. (en)
ResearchGate publication ID	wds:Q34451415-6B134D3E-2F61-4AAC-84C6-B25E25F58ECB
ResearchGate publication ID	262030045
arXiv ID	wds:Q34451415-00A4BCF8-9EFC-4334-898C-B6B01FB64C8A
arXiv ID	1404.7828
is about of	https://www.wikidata.org/wiki/Special:EntityData/Q34451415
is cites work of	Deep Learning Applications for Predicting Pharmacological Properties of Drugs and Drug Repurposing Using Transcriptomic Data Deep Learning in Drug Discovery. Deep Artificial Neural Networks and Neuromorphic Chips for Big Data Analysis: Pharmaceutical and Bioinformatics Applications Methodological challenges and analytic opportunities for modeling and interpreting Big Healthcare Data Highly accurate sequence-based prediction of half-sphere exposures of amino acid residues in proteins Deep Learning in Label-free Cell Classification High-Content Analysis of Breast Cancer Using Single-Cell Deep Transfer Learning A Circuit-Based Neural Network with Hybrid Learning of Backpropagation and Random Weight Change Algorithms Deep Learning in Medical Image Analysis Choosing Prediction Over Explanation in Psychology: Lessons From Machine Learning Automated detection of coarctation of aorta in neonates from two-dimensional echocardiograms Toward a Unified Sub-symbolic Computational Theory of Cognition Application of Machine Learning in Postural Control Kinematics for the Diagnosis of Alzheimer's Disease Discriminating solitary cysts from soft tissue lesions in mammography using a pretrained deep convolutional neural network MATE: Machine Learning for Adaptive Calibration Template Detection. Imputation for transcription factor binding predictions based on deep learning Protein function in precision medicine: deep understanding with machine learning Real-time inverse kinematics for the upper limb: a model-based algorithm using segment orientations Deep learning for computational biology An Adaptive Multi-Sensor Data Fusion Method Based on Deep Convolutional Neural Networks for Fault Diagnosis of Planetary Gearbox Doctor AI: Predicting Clinical Events via Recurrent Neural Networks Deep Learning and its Applications in Biomedicine. Using Deep Learning for Image-Based Plant Disease Detection Automatic detection of hemorrhagic pericardial effusion on PMCT using deep learning - a feasibility study Biosignals learning and synthesis using deep neural networks Machine learning quantum phases of matter beyond the fermion sign problem Globally fixed-time synchronization of coupled neutral-type neural network with mixed time-varying delays.

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