Geometry of deep learning: a signal processing perspective
Gespeichert in:
| 1. Verfasser: | |
|---|---|
| Format: | Buch |
| Sprache: | English |
| Veröffentlicht: |
Singapore
Springer Nature
[2022]
|
| Schriftenreihe: | Mathematics in industry
Volume 37 |
| Schlagworte: | |
| Beschreibung: | xvi, 330 Seiten Illustrationen, DIagramme |
| ISBN: | 9789811660450 9789811660467 |
Internformat
MARC
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| 100 | 1 | |a Ye, Jong Chul |d ca. 21. Jh. |0 (DE-588)1259447170 |4 aut | |
| 245 | 1 | 0 | |a Geometry of deep learning |b a signal processing perspective |c Jong Chul Ye |
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Datensatz im Suchindex
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| author | Ye, Jong Chul ca. 21. Jh |
| author_GND | (DE-588)1259447170 |
| author_facet | Ye, Jong Chul ca. 21. Jh |
| author_role | aut |
| author_sort | Ye, Jong Chul ca. 21. Jh |
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| id | DE-604.BV048197497 |
| illustrated | Illustrated |
| index_date | 2024-07-03T19:45:37Z |
| indexdate | 2025-01-10T17:14:03Z |
| institution | BVB |
| isbn | 9789811660450 9789811660467 |
| language | English |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-033578590 |
| oclc_num | 1310613629 |
| open_access_boolean | |
| owner | DE-83 |
| owner_facet | DE-83 |
| physical | xvi, 330 Seiten Illustrationen, DIagramme |
| publishDate | 2022 |
| publishDateSearch | 2022 |
| publishDateSort | 2022 |
| publisher | Springer Nature |
| record_format | marc |
| series | Mathematics in industry |
| series2 | Mathematics in industry |
| spelling | Ye, Jong Chul ca. 21. Jh. (DE-588)1259447170 aut Geometry of deep learning a signal processing perspective Jong Chul Ye Singapore Springer Nature [2022] © 2022 xvi, 330 Seiten Illustrationen, DIagramme txt rdacontent n rdamedia nc rdacarrier Mathematics in industry Volume 37 Künstliche Intelligenz (DE-588)4033447-8 gnd rswk-swf Neuronales Netz (DE-588)4226127-2 gnd rswk-swf Deep learning (DE-588)1135597375 gnd rswk-swf Deep learning (DE-588)1135597375 s Künstliche Intelligenz (DE-588)4033447-8 s Neuronales Netz (DE-588)4226127-2 s DE-604 Erscheint auch als Online-Ausgabe 978-981-1660-46-7 Mathematics in industry Volume 37 (DE-604)BV014253721 37 |
| spellingShingle | Ye, Jong Chul ca. 21. Jh Geometry of deep learning a signal processing perspective Mathematics in industry Künstliche Intelligenz (DE-588)4033447-8 gnd Neuronales Netz (DE-588)4226127-2 gnd Deep learning (DE-588)1135597375 gnd |
| subject_GND | (DE-588)4033447-8 (DE-588)4226127-2 (DE-588)1135597375 |
| title | Geometry of deep learning a signal processing perspective |
| title_auth | Geometry of deep learning a signal processing perspective |
| title_exact_search | Geometry of deep learning a signal processing perspective |
| title_exact_search_txtP | Geometry of deep learning a signal processing perspective |
| title_full | Geometry of deep learning a signal processing perspective Jong Chul Ye |
| title_fullStr | Geometry of deep learning a signal processing perspective Jong Chul Ye |
| title_full_unstemmed | Geometry of deep learning a signal processing perspective Jong Chul Ye |
| title_short | Geometry of deep learning |
| title_sort | geometry of deep learning a signal processing perspective |
| title_sub | a signal processing perspective |
| topic | Künstliche Intelligenz (DE-588)4033447-8 gnd Neuronales Netz (DE-588)4226127-2 gnd Deep learning (DE-588)1135597375 gnd |
| topic_facet | Künstliche Intelligenz Neuronales Netz Deep learning |
| volume_link | (DE-604)BV014253721 |
| work_keys_str_mv | AT yejongchul geometryofdeeplearningasignalprocessingperspective |