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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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