Evaluation of methods for fine tuning deep neural networks for content based image retrieval:
Gespeichert in:
| 1. Verfasser: | |
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| Format: | Abschlussarbeit Buch |
| Sprache: | English |
| Veröffentlicht: |
2019
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| Schlagworte: | |
| Beschreibung: | 93 Blätter Diagramme, Illustrationen |
Internformat
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Datensatz im Suchindex
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| spelling | Schall, Konstantin Verfasser aut Evaluation of methods for fine tuning deep neural networks for content based image retrieval by Konstantin Schall 2019 93 Blätter Diagramme, Illustrationen txt rdacontent n rdamedia nc rdacarrier Masterarbeit Hochschule für Technik und Wirtschaft Berlin 2019 (DE-588)4113937-9 Hochschulschrift gnd-content |
| spellingShingle | Schall, Konstantin Evaluation of methods for fine tuning deep neural networks for content based image retrieval |
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| title | Evaluation of methods for fine tuning deep neural networks for content based image retrieval |
| title_auth | Evaluation of methods for fine tuning deep neural networks for content based image retrieval |
| title_exact_search | Evaluation of methods for fine tuning deep neural networks for content based image retrieval |
| title_full | Evaluation of methods for fine tuning deep neural networks for content based image retrieval by Konstantin Schall |
| title_fullStr | Evaluation of methods for fine tuning deep neural networks for content based image retrieval by Konstantin Schall |
| title_full_unstemmed | Evaluation of methods for fine tuning deep neural networks for content based image retrieval by Konstantin Schall |
| title_short | Evaluation of methods for fine tuning deep neural networks for content based image retrieval |
| title_sort | evaluation of methods for fine tuning deep neural networks for content based image retrieval |
| topic_facet | Hochschulschrift |
| work_keys_str_mv | AT schallkonstantin evaluationofmethodsforfinetuningdeepneuralnetworksforcontentbasedimageretrieval |