Shonia, Ilona (2018) Machbarkeitsstudie des L-BFGS Verfahrens für das Training von Deep Learning Problemen. Kolloquium zur Bachelorarbeit, 14.11.2018, Köln, Deutschland. (Submitted)
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Item URL in elib: | https://elib.dlr.de/124417/ | ||||||
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Document Type: | Conference or Workshop Item (Speech) | ||||||
Title: | Machbarkeitsstudie des L-BFGS Verfahrens für das Training von Deep Learning Problemen | ||||||
Authors: |
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Date: | 2018 | ||||||
Refereed publication: | No | ||||||
Open Access: | Yes | ||||||
Gold Open Access: | No | ||||||
In SCOPUS: | No | ||||||
In ISI Web of Science: | No | ||||||
Status: | Submitted | ||||||
Keywords: | Optimierungsalgoritmen, Deep Learning | ||||||
Event Title: | Kolloquium zur Bachelorarbeit | ||||||
Event Location: | Köln, Deutschland | ||||||
Event Type: | Other | ||||||
Event Dates: | 14.11.2018 | ||||||
HGF - Research field: | Aeronautics, Space and Transport | ||||||
HGF - Program: | Space | ||||||
HGF - Program Themes: | Space System Technology | ||||||
DLR - Research area: | Raumfahrt | ||||||
DLR - Program: | R SY - Space System Technology | ||||||
DLR - Research theme (Project): | R - Vorhaben SISTEC (old) | ||||||
Location: | Köln-Porz | ||||||
Institutes and Institutions: | Institut of Simulation and Software Technology > High Performance Computing | ||||||
Deposited By: | Shonia, Ilona | ||||||
Deposited On: | 06 Dec 2018 14:27 | ||||||
Last Modified: | 31 Jul 2019 20:22 |
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