Verfügbarkeit: Shallow and Deep Learning Principles | Technische Universität München

Shallow and Deep Learning Principles: Scientific, Philosophical, and Logical Perspectives

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Bibliographische Detailangaben
Beteilige Person:	Şen, Zekâi (VerfasserIn)
Format:	Elektronisch E-Book
Sprache:	Englisch
Veröffentlicht:	Cham Springer International Publishing 2023 Cham Springer
Ausgabe:	1st ed. 2023
Schlagwörter:	Communications Engineering, Networks Probability and Statistics in Computer Science Innovation and Technology Management Artificial Intelligence Telecommunication Computer science—Mathematics Mathematical statistics Technological innovations Artificial intelligence Deep Learning Neuronales Netz Maschinelles Lernen
Links:	https://doi.org/10.1007/978-3-031-29555-3 https://doi.org/10.1007/978-3-031-29555-3 https://doi.org/10.1007/978-3-031-29555-3 https://doi.org/10.1007/978-3-031-29555-3 https://doi.org/10.1007/978-3-031-29555-3 https://doi.org/10.1007/978-3-031-29555-3 https://doi.org/10.1007/978-3-031-29555-3 https://doi.org/10.1007/978-3-031-29555-3 https://doi.org/10.1007/978-3-031-29555-3 https://doi.org/10.1007/978-3-031-29555-3 https://doi.org/10.1007/978-3-031-29555-3 https://doi.org/10.1007/978-3-031-29555-3 https://doi.org/10.1007/978-3-031-29555-3 https://doi.org/10.1007/978-3-031-29555-3 https://doi.org/10.1007/978-3-031-29555-3 https://doi.org/10.1007/978-3-031-29555-3 https://doi.org/10.1007/978-3-031-29555-3 https://doi.org/10.1007/978-3-031-29555-3 https://doi.org/10.1007/978-3-031-29555-3 https://doi.org/10.1007/978-3-031-29555-3
Umfang:	1 Online-Ressource (XX, 661 p. 322 illus., 71 illus. in color)
ISBN:	9783031295553
DOI:	10.1007/978-3-031-29555-3

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spellingShingle	Şen, Zekâi Shallow and Deep Learning Principles Scientific, Philosophical, and Logical Perspectives Communications Engineering, Networks Probability and Statistics in Computer Science Innovation and Technology Management Artificial Intelligence Telecommunication Computer science—Mathematics Mathematical statistics Technological innovations Artificial intelligence Deep Learning (DE-588)1135597375 gnd Neuronales Netz (DE-588)4226127-2 gnd Maschinelles Lernen (DE-588)4193754-5 gnd
subject_GND	(DE-588)1135597375 (DE-588)4226127-2 (DE-588)4193754-5
title	Shallow and Deep Learning Principles Scientific, Philosophical, and Logical Perspectives
title_auth	Shallow and Deep Learning Principles Scientific, Philosophical, and Logical Perspectives
title_exact_search	Shallow and Deep Learning Principles Scientific, Philosophical, and Logical Perspectives
title_full	Shallow and Deep Learning Principles Scientific, Philosophical, and Logical Perspectives by Zekâi Şen
title_fullStr	Shallow and Deep Learning Principles Scientific, Philosophical, and Logical Perspectives by Zekâi Şen
title_full_unstemmed	Shallow and Deep Learning Principles Scientific, Philosophical, and Logical Perspectives by Zekâi Şen
title_short	Shallow and Deep Learning Principles
title_sort	shallow and deep learning principles scientific philosophical and logical perspectives
title_sub	Scientific, Philosophical, and Logical Perspectives
topic	Communications Engineering, Networks Probability and Statistics in Computer Science Innovation and Technology Management Artificial Intelligence Telecommunication Computer science—Mathematics Mathematical statistics Technological innovations Artificial intelligence Deep Learning (DE-588)1135597375 gnd Neuronales Netz (DE-588)4226127-2 gnd Maschinelles Lernen (DE-588)4193754-5 gnd
topic_facet	Communications Engineering, Networks Probability and Statistics in Computer Science Innovation and Technology Management Artificial Intelligence Telecommunication Computer science—Mathematics Mathematical statistics Technological innovations Artificial intelligence Deep Learning Neuronales Netz Maschinelles Lernen
url	https://doi.org/10.1007/978-3-031-29555-3
work_keys_str_mv	AT senzekai shallowanddeeplearningprinciplesscientificphilosophicalandlogicalperspectives

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