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ISBN | 9783031206382 |
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Autor | Somani Ayush |
Vydavatel | Springer Nature |
Jazyk | english |
Vazba | Pevná vazba |
Rok vydání | 2023 |
Počet stran | 466 |
This book is a comprehensive curation, exposition and illustrative discussion of recent research tools for interpretability of deep learning models, with a focus on neural network architectures. In addition, it includes several case studies from application-oriented articles in the fields of computer vision, optics and machine learning related topic.
The book can be used as a monograph on interpretability in deep learning covering the most recent topics as well as a textbook for graduate students. Scientists with research, development and application responsibilities benefit from its systematic exposition.