Explainable Deep Learning AI: Methods and Challenges
Explainable Deep Learning AI: Methods and Challenges presents the latest works of leading researchers in the XAI area, offering an overview of the XAI area, along with several novel technical methods and applications that address explainability challenges for deep learning AI systems. The book overv...
Gespeichert in:
| Weitere Verfasser: | , , , |
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| Format: | Buch |
| Sprache: | English |
| Veröffentlicht: |
London
AP Academic Press
[2023]
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| Schlagworte: | |
| Zusammenfassung: | Explainable Deep Learning AI: Methods and Challenges presents the latest works of leading researchers in the XAI area, offering an overview of the XAI area, along with several novel technical methods and applications that address explainability challenges for deep learning AI systems. The book overviews XAI and then covers a number of specific technical works and approaches for deep learning, ranging from general XAI methods to specific XAI applications, and finally, with user-oriented evaluation approaches. It also explores the main categories of explainable AI - deep learning, which become the necessary condition in various applications of artificial intelligence. The groups of methods such as back-propagation and perturbation-based methods are explained, and the application to various kinds of data classification are presented. |
| Beschreibung: | xv, 329 Seiten Illustrationen, Diagramme 450 grams. |
| ISBN: | 9780323960984 |
Internformat
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Datensatz im Suchindex
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| id | DE-604.BV048867430 |
| illustrated | Illustrated |
| index_date | 2024-07-03T21:43:28Z |
| indexdate | 2024-07-10T09:48:17Z |
| institution | BVB |
| isbn | 9780323960984 |
| language | English |
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| owner_facet | DE-1043 DE-1102 |
| physical | xv, 329 Seiten Illustrationen, Diagramme 450 grams. |
| publishDate | 2023 |
| publishDateSearch | 2023 |
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| publisher | AP Academic Press |
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| spelling | Explainable Deep Learning AI Methods and Challenges edited by Jenny Benois-Pineau, Romain Bourqui, Dragutin Petkovic, Georges Quénot London AP Academic Press [2023] xv, 329 Seiten Illustrationen, Diagramme 450 grams. txt rdacontent n rdamedia nc rdacarrier Explainable Deep Learning AI: Methods and Challenges presents the latest works of leading researchers in the XAI area, offering an overview of the XAI area, along with several novel technical methods and applications that address explainability challenges for deep learning AI systems. The book overviews XAI and then covers a number of specific technical works and approaches for deep learning, ranging from general XAI methods to specific XAI applications, and finally, with user-oriented evaluation approaches. It also explores the main categories of explainable AI - deep learning, which become the necessary condition in various applications of artificial intelligence. The groups of methods such as back-propagation and perturbation-based methods are explained, and the application to various kinds of data classification are presented. Künstliche Intelligenz (DE-588)4033447-8 gnd rswk-swf Deep learning (DE-588)1135597375 gnd rswk-swf Künstliche Intelligenz Business Intelligence Computing & Security Single-item retail product Wissensbasierte Systeme, Expertensysteme Explainable AI; XAI; Deep Learning; Back-Propagation methods; Perturbation-based methods; applications; evaluation Deep learning (DE-588)1135597375 s Künstliche Intelligenz (DE-588)4033447-8 s DE-604 Benois-Pineau, Jenny (DE-588)1022635964 edt Bourqui, Romain edt Petkovic, Dragutin edt Quénot, Georges edt |
| spellingShingle | Explainable Deep Learning AI Methods and Challenges Künstliche Intelligenz (DE-588)4033447-8 gnd Deep learning (DE-588)1135597375 gnd |
| subject_GND | (DE-588)4033447-8 (DE-588)1135597375 |
| title | Explainable Deep Learning AI Methods and Challenges |
| title_auth | Explainable Deep Learning AI Methods and Challenges |
| title_exact_search | Explainable Deep Learning AI Methods and Challenges |
| title_exact_search_txtP | Explainable Deep Learning AI Methods and Challenges |
| title_full | Explainable Deep Learning AI Methods and Challenges edited by Jenny Benois-Pineau, Romain Bourqui, Dragutin Petkovic, Georges Quénot |
| title_fullStr | Explainable Deep Learning AI Methods and Challenges edited by Jenny Benois-Pineau, Romain Bourqui, Dragutin Petkovic, Georges Quénot |
| title_full_unstemmed | Explainable Deep Learning AI Methods and Challenges edited by Jenny Benois-Pineau, Romain Bourqui, Dragutin Petkovic, Georges Quénot |
| title_short | Explainable Deep Learning AI |
| title_sort | explainable deep learning ai methods and challenges |
| title_sub | Methods and Challenges |
| topic | Künstliche Intelligenz (DE-588)4033447-8 gnd Deep learning (DE-588)1135597375 gnd |
| topic_facet | Künstliche Intelligenz Deep learning |
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