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Machbarkeitsstudie des L-BFGS Verfahrens für das Training von Deep Learning Problemen

Shonia, Ilona (2018) Machbarkeitsstudie des L-BFGS Verfahrens für das Training von Deep Learning Problemen. WAW - Machine Learning 3, 19.-20. Nov. 2018, Köln, Deutschland. (Submitted)

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Item URL in elib:https://elib.dlr.de/124419/
Document Type:Conference or Workshop Item (Speech)
Title:Machbarkeitsstudie des L-BFGS Verfahrens für das Training von Deep Learning Problemen
Authors:
AuthorsInstitution or Email of AuthorsAuthors ORCID iD
Shonia, IlonaIlona.Shonia (at) dlr.deUNSPECIFIED
Date:2018
Refereed publication:No
Open Access:Yes
Gold Open Access:No
In SCOPUS:No
In ISI Web of Science:No
Status:Submitted
Keywords:Optimierungsalgorithmen, Deep Learning, Stochastische Quasi-Newton Methode, MB-LBFGS, PB-LBFGS
Event Title:WAW - Machine Learning 3
Event Location:Köln, Deutschland
Event Type:Workshop
Event Dates:19.-20. Nov. 2018
HGF - Research field:Aeronautics, Space and Transport
HGF - Program:Space
HGF - Program Themes:Space Technology
DLR - Research area:Raumfahrt
DLR - Program:R SY - Technik für Raumfahrtsysteme
DLR - Research theme (Project):R - Vorhaben SISTEC
Location: Köln-Porz
Institutes and Institutions:Institut of Simulation and Software Technology > High Performance Computing
Deposited By: Shonia, Ilona
Deposited On:06 Dec 2018 14:25
Last Modified:31 Jul 2019 20:22

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