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...

Täydet tiedot

Bibliografiset tiedot

Päätekijät:	Somani, Ayush (Tekijä), Horsch, Alexander (Tekijä), Prasad, Dilip K. (Tekijä)
Yhteisötekijä:	SpringerLink (Online service)
Aineistotyyppi:	Elektroninen E-kirja
Kieli:	englanti
Julkaistu:	Cham : Springer International Publishing : Imprint: Springer, 2023.
Painos:	1st ed. 2023.
Aiheet:	Artificial intelligence. Operations research. Knowledge management. Computer vision. Artificial Intelligence. Operations Research and Decision Theory. Knowledge Management. Computer Vision.
Linkit:	https://doi.org/10.1007/978-3-031-20639-9
Tagit:	Lisää tagi Ei tageja, Lisää ensimmäinen tagi!