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Interpretability in Deep Learning

Language EnglishEnglish
E-book Adobe ePub DRM
Publishers Springer, April 2023
This book is a comprehensive curation, exposition and illustrative discussion of recent research too... Full description
? points 452 b
187.06 €
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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.    

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About the book

Full name Interpretability in Deep Learning
Author Ayush Somani, Alexander Horsch, Dilip K. Prasad
Language English
Binding E-book - Adobe ePub DRM
Date of issue 2023
EAN 9783031206399
Libristo code 44986389
Publishers Springer

Categories

Economics, Finance, Business & Management > Business & Management > Management & management techniques > Knowledge management
Economics, Finance, Business & Management > Business & Management > Operational research
Computing & Information Technology > Computer science > Artificial intelligence
Computing & Information Technology > Computer science > Image processing
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