Interpretability in Deep Learning

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 compute...

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Furkejuvvon:
Bibliográfalaš dieđut
Váldodahkkit: Somani, Ayush (Dahkki), Horsch, Alexander (Dahkki), Prasad, Dilip K. (Dahkki)
Searvvušdahkki: SpringerLink (Online service)
Materiálatiipa: Elektrovnnalaš E-girji
Giella:eaŋgalasgiella
Almmustuhtton: Cham : Springer International Publishing : Imprint: Springer, 2023.
Preanttus:1st ed. 2023.
Fáttát:
Liŋkkat:https://doi.org/10.1007/978-3-031-20639-9
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https://doi.org/10.1007/978-3-031-20639-9