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Название: Explainable Deep Learning AI: Methods and Challenges
Автор: Jenny Benois-Pineau, Romain Bourqui, Dragutin Petkovic
Издательство: Academic Press/Elsevier
Год: 2023
Страниц: 348
Язык: английский
Формат: pdf (true), epub
Размер: 51.3 MB
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 (AI). Artificial Intelligence (AI) techniques, especially those based on Deep Learning (DL), have become extremely effective on a very large variety of tasks, sometimes performing even better than human experts.
Автор: Jenny Benois-Pineau, Romain Bourqui, Dragutin Petkovic
Издательство: Academic Press/Elsevier
Год: 2023
Страниц: 348
Язык: английский
Формат: pdf (true), epub
Размер: 51.3 MB
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 (AI). Artificial Intelligence (AI) techniques, especially those based on Deep Learning (DL), have become extremely effective on a very large variety of tasks, sometimes performing even better than human experts.