Mathematical aspects of deep learning:
Gespeichert in:
Weitere Verfasser: | , |
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Format: | Elektronisch E-Book |
Sprache: | English |
Veröffentlicht: |
Cambridge, United Kingdom ; New York, NY, USA ; Port Melbourne, VIC, Australia ; New Delhi, India ; Singapore
Cambridge University Press
2023
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Schlagworte: | |
Online-Zugang: | DE-12 DE-634 DE-92 DE-91 DE-19 DE-706 DE-29 Volltext |
Beschreibung: | Title from publisher's bibliographic system (viewed on 30 Nov 2022) Literaturangaben |
Beschreibung: | 1 Online-Ressource (xviii, 473 Seiten) |
ISBN: | 9781009025096 9781009035682 |
DOI: | 10.1017/9781009025096 |
Internformat
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index_date | 2024-07-03T21:21:49Z |
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institution | BVB |
isbn | 9781009025096 9781009035682 |
language | English |
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physical | 1 Online-Ressource (xviii, 473 Seiten) |
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spelling | Mathematical aspects of deep learning edited by Philipp Grohs (Universität Wien, Austria), Gitta Kutyniok (Ludwig-Maximilians-Universität München) Cambridge, United Kingdom ; New York, NY, USA ; Port Melbourne, VIC, Australia ; New Delhi, India ; Singapore Cambridge University Press 2023 1 Online-Ressource (xviii, 473 Seiten) txt rdacontent c rdamedia cr rdacarrier Title from publisher's bibliographic system (viewed on 30 Nov 2022) Literaturangaben Deep learning (Machine learning) Mathematics Mathematische Methode (DE-588)4155620-3 gnd rswk-swf Deep learning (DE-588)1135597375 gnd rswk-swf Deep learning (DE-588)1135597375 s DE-604 Mathematische Methode (DE-588)4155620-3 s Grohs, Philipp 1981- (DE-588)1036788318 edt Kutyniok, Gitta 1972- (DE-588)1043849793 edt Erscheint auch als Druck-Ausgabe 978-1-316-51678-2 https://doi.org/10.1017/9781009025096 Verlag URL des Erstveröffentlichers Volltext |
spellingShingle | Mathematical aspects of deep learning Deep learning (Machine learning) Mathematics Mathematische Methode (DE-588)4155620-3 gnd Deep learning (DE-588)1135597375 gnd |
subject_GND | (DE-588)4155620-3 (DE-588)1135597375 |
title | Mathematical aspects of deep learning |
title_auth | Mathematical aspects of deep learning |
title_exact_search | Mathematical aspects of deep learning |
title_exact_search_txtP | Mathematical aspects of deep learning |
title_full | Mathematical aspects of deep learning edited by Philipp Grohs (Universität Wien, Austria), Gitta Kutyniok (Ludwig-Maximilians-Universität München) |
title_fullStr | Mathematical aspects of deep learning edited by Philipp Grohs (Universität Wien, Austria), Gitta Kutyniok (Ludwig-Maximilians-Universität München) |
title_full_unstemmed | Mathematical aspects of deep learning edited by Philipp Grohs (Universität Wien, Austria), Gitta Kutyniok (Ludwig-Maximilians-Universität München) |
title_short | Mathematical aspects of deep learning |
title_sort | mathematical aspects of deep learning |
topic | Deep learning (Machine learning) Mathematics Mathematische Methode (DE-588)4155620-3 gnd Deep learning (DE-588)1135597375 gnd |
topic_facet | Deep learning (Machine learning) Mathematics Mathematische Methode Deep learning |
url | https://doi.org/10.1017/9781009025096 |
work_keys_str_mv | AT grohsphilipp mathematicalaspectsofdeeplearning AT kutyniokgitta mathematicalaspectsofdeeplearning |