Number Systems for Deep Neural Network Architectures:
Gespeichert in:
| Hauptverfasser: | , , , , , |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
Cham
Springer Nature Switzerland
2024
Cham Springer |
| Ausgabe: | 1st ed. 2024 |
| Schriftenreihe: | Synthesis Lectures on Engineering, Science, and Technology
|
| Schlagworte: | |
| Online-Zugang: | FHI01 Volltext |
| Beschreibung: | 1 Online-Ressource (XI, 94 p. 30 illus., 28 illus. in color) |
| ISBN: | 9783031381331 |
| ISSN: | 2690-0327 |
| DOI: | 10.1007/978-3-031-38133-1 |
Internformat
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Datensatz im Suchindex
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| author | Alsuhli, Ghada Sakellariou, Vasilis Saleh, Hani Al-Qutayri, Mahmoud Mohammad, Baker Stouraitis, Thanos |
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| dewey-full | 006.22 |
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| dewey-ones | 006 - Special computer methods |
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| dewey-sort | 16.22 |
| dewey-tens | 000 - Computer science, information, general works |
| discipline | Informatik |
| discipline_str_mv | Informatik |
| doi_str_mv | 10.1007/978-3-031-38133-1 |
| edition | 1st ed. 2024 |
| format | Electronic eBook |
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| illustrated | Not Illustrated |
| index_date | 2024-07-03T22:51:42Z |
| indexdate | 2024-07-10T10:02:32Z |
| institution | BVB |
| isbn | 9783031381331 |
| issn | 2690-0327 |
| language | English |
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| series2 | Synthesis Lectures on Engineering, Science, and Technology |
| spelling | Alsuhli, Ghada Verfasser aut Number Systems for Deep Neural Network Architectures by Ghada Alsuhli, Vasilis Sakellariou, Hani Saleh, Mahmoud Al-Qutayri, Baker Mohammad, Thanos Stouraitis 1st ed. 2024 Cham Springer Nature Switzerland 2024 Cham Springer 1 Online-Ressource (XI, 94 p. 30 illus., 28 illus. in color) txt rdacontent c rdamedia cr rdacarrier Synthesis Lectures on Engineering, Science, and Technology 2690-0327 Embedded Systems Processor Architectures Mathematical Models of Cognitive Processes and Neural Networks Embedded computer systems Microprocessors Computer architecture Neural networks (Computer science) Sakellariou, Vasilis aut Saleh, Hani aut Al-Qutayri, Mahmoud aut Mohammad, Baker aut Stouraitis, Thanos aut Erscheint auch als Druck-Ausgabe 978-3-031-38132-4 Erscheint auch als Druck-Ausgabe 978-3-031-38134-8 Erscheint auch als Druck-Ausgabe 978-3-031-38135-5 https://doi.org/10.1007/978-3-031-38133-1 Verlag URL des Erstveröffentlichers Volltext |
| spellingShingle | Alsuhli, Ghada Sakellariou, Vasilis Saleh, Hani Al-Qutayri, Mahmoud Mohammad, Baker Stouraitis, Thanos Number Systems for Deep Neural Network Architectures Embedded Systems Processor Architectures Mathematical Models of Cognitive Processes and Neural Networks Embedded computer systems Microprocessors Computer architecture Neural networks (Computer science) |
| title | Number Systems for Deep Neural Network Architectures |
| title_auth | Number Systems for Deep Neural Network Architectures |
| title_exact_search | Number Systems for Deep Neural Network Architectures |
| title_exact_search_txtP | Number Systems for Deep Neural Network Architectures |
| title_full | Number Systems for Deep Neural Network Architectures by Ghada Alsuhli, Vasilis Sakellariou, Hani Saleh, Mahmoud Al-Qutayri, Baker Mohammad, Thanos Stouraitis |
| title_fullStr | Number Systems for Deep Neural Network Architectures by Ghada Alsuhli, Vasilis Sakellariou, Hani Saleh, Mahmoud Al-Qutayri, Baker Mohammad, Thanos Stouraitis |
| title_full_unstemmed | Number Systems for Deep Neural Network Architectures by Ghada Alsuhli, Vasilis Sakellariou, Hani Saleh, Mahmoud Al-Qutayri, Baker Mohammad, Thanos Stouraitis |
| title_short | Number Systems for Deep Neural Network Architectures |
| title_sort | number systems for deep neural network architectures |
| topic | Embedded Systems Processor Architectures Mathematical Models of Cognitive Processes and Neural Networks Embedded computer systems Microprocessors Computer architecture Neural networks (Computer science) |
| topic_facet | Embedded Systems Processor Architectures Mathematical Models of Cognitive Processes and Neural Networks Embedded computer systems Microprocessors Computer architecture Neural networks (Computer science) |
| url | https://doi.org/10.1007/978-3-031-38133-1 |
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