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Shonia, Ilona (2018) Machbarkeitsstudie des L-BFGS Verfahrens für das Training von Deep Learning Problemen. WAW - Machine Learning 3, 2018-11-19 - 2018-11-20, Köln, Deutschland. (Submitted)
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| Item URL in elib: | https://elib.dlr.de/124419/ | ||||||||
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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: | 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 Start Date: | 19 November 2018 | ||||||||
| Event End Date: | 20 November 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 14:25 | ||||||||
| Last Modified: | 24 Apr 2024 20:28 |
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