Energy efficient hardware architectures for memory prohibitive deep neural networks:
Gespeichert in:
| 1. Verfasser: | |
|---|---|
| Format: | Abschlussarbeit Buch |
| Sprache: | English |
| Veröffentlicht: |
Berlin
Technische Universität Berlin
2024
|
| Schlagworte: | |
| Online-Zugang: | kostenfrei kostenfrei kostenfrei kostenfrei |
| Beschreibung: | xxi, 125 Seiten Illustrationen, Diagramme |
| DOI: | 10.14279/depositonce-19945 |
Internformat
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| 245 | 1 | 0 | |a Energy efficient hardware architectures for memory prohibitive deep neural networks |c vorgelegt von M.Tech. Suhas Shivapakash |
| 246 | 1 | 3 | |a Energieeffiziente Hardware-Architekturen für speicherintensive tiefe neuronale Netze |
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Datensatz im Suchindex
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| spelling | Shivapakash, Suhas Verfasser (DE-588)134156133X aut Energy efficient hardware architectures for memory prohibitive deep neural networks vorgelegt von M.Tech. Suhas Shivapakash Energieeffiziente Hardware-Architekturen für speicherintensive tiefe neuronale Netze Berlin Technische Universität Berlin 2024 xxi, 125 Seiten Illustrationen, Diagramme txt rdacontent n rdamedia nc rdacarrier Dissertation Technische Universität Berlin 2023 Archivierung/Langzeitarchivierung gewährleistet DE-101 pdager Energiebewusstes Bauen (DE-588)4113437-0 gnd rswk-swf Deep Learning (DE-588)1135597375 gnd rswk-swf Energieeffizienz (DE-588)7660153-5 gnd rswk-swf Neuronales Netz (DE-588)4226127-2 gnd rswk-swf Maschinelles Lernen (DE-588)4193754-5 gnd rswk-swf (DE-588)4113937-9 Hochschulschrift gnd-content Neuronales Netz (DE-588)4226127-2 s Energieeffizienz (DE-588)7660153-5 s Maschinelles Lernen (DE-588)4193754-5 s Deep Learning (DE-588)1135597375 s Energiebewusstes Bauen (DE-588)4113437-0 s DE-604 Erscheint auch als Online-Ausgabe 10.14279/depositonce-19945 (DE-604)BV049694161 https://doi.org/10.14279/depositonce-19945 Resolving-System kostenfrei Volltext https://hdl.handle.net/11303/21145 Resolving-System kostenfrei Volltext https://nbn-resolving.org/urn:nbn:de:101:1-2405010201181.885262244063 Resolving-System kostenfrei Volltext https://d-nb.info/1328025012/34 Langzeitarchivierung Nationalbibliothek kostenfrei Volltext 1\p emakn 0,10494 20240502 DE-101 https://d-nb.info/provenance/plan#emakn 2\p emasg 0,58143 20240502 DE-101 https://d-nb.info/provenance/plan#emasg |
| spellingShingle | Shivapakash, Suhas Energy efficient hardware architectures for memory prohibitive deep neural networks Energiebewusstes Bauen (DE-588)4113437-0 gnd Deep Learning (DE-588)1135597375 gnd Energieeffizienz (DE-588)7660153-5 gnd Neuronales Netz (DE-588)4226127-2 gnd Maschinelles Lernen (DE-588)4193754-5 gnd |
| subject_GND | (DE-588)4113437-0 (DE-588)1135597375 (DE-588)7660153-5 (DE-588)4226127-2 (DE-588)4193754-5 (DE-588)4113937-9 |
| title | Energy efficient hardware architectures for memory prohibitive deep neural networks |
| title_alt | Energieeffiziente Hardware-Architekturen für speicherintensive tiefe neuronale Netze |
| title_auth | Energy efficient hardware architectures for memory prohibitive deep neural networks |
| title_exact_search | Energy efficient hardware architectures for memory prohibitive deep neural networks |
| title_full | Energy efficient hardware architectures for memory prohibitive deep neural networks vorgelegt von M.Tech. Suhas Shivapakash |
| title_fullStr | Energy efficient hardware architectures for memory prohibitive deep neural networks vorgelegt von M.Tech. Suhas Shivapakash |
| title_full_unstemmed | Energy efficient hardware architectures for memory prohibitive deep neural networks vorgelegt von M.Tech. Suhas Shivapakash |
| title_short | Energy efficient hardware architectures for memory prohibitive deep neural networks |
| title_sort | energy efficient hardware architectures for memory prohibitive deep neural networks |
| topic | Energiebewusstes Bauen (DE-588)4113437-0 gnd Deep Learning (DE-588)1135597375 gnd Energieeffizienz (DE-588)7660153-5 gnd Neuronales Netz (DE-588)4226127-2 gnd Maschinelles Lernen (DE-588)4193754-5 gnd |
| topic_facet | Energiebewusstes Bauen Deep Learning Energieeffizienz Neuronales Netz Maschinelles Lernen Hochschulschrift |
| url | https://doi.org/10.14279/depositonce-19945 https://hdl.handle.net/11303/21145 https://nbn-resolving.org/urn:nbn:de:101:1-2405010201181.885262244063 https://d-nb.info/1328025012/34 |
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