Interpretability in Deep Learning

Interpretability in Deep Learning

by Ayush SomaniAlexander Horsch and Dilip K. Prasad
Epub (Kobo), Epub (Adobe)
Publication Date: 01/06/2023

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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.

ISBN:
9783031206399
9783031206399
Category:
Artificial intelligence
Format:
Epub (Kobo), Epub (Adobe)
Publication Date:
01-06-2023
Language:
English
Publisher:
Springer International Publishing

This item is delivered digitally

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