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Interpretability in Deep Learning

von Alexander Horsch, Ayush Somani und Dilip K. Prasad
Hardcover - 9783031206382
171,19 €
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Softcover - 9783031206412
171,19 €

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Weitere Formate

Softcover - 9783031206412
171,19 €

Beschreibung

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.

 

 

Details

Verlag Springer International Publishing
Ersterscheinung 01. Mai 2023
Maße 23.5 cm x 15.5 cm
Gewicht 981 Gramm
Format Hardcover
ISBN-13 9783031206382
Seiten 466

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