Ayush Somani,
Alexander Horsch,
Dilip K. Prasad
Interpretability in Deep Learning
Paperback Engels 2024 9783031206412
Verwachte levertijd ongeveer 9 werkdagen
Samenvatting
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.
Specificaties
ISBN13:9783031206412
Taal:Engels
Bindwijze:paperback
Uitgever:Springer International Publishing
Lezersrecensies
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Inhoudsopgave
<p>Chapter 1. Introduction.- Chapter 2. Neural networks for deep learning.- Chapter 3. Knowledge Encoding and Interpretation.- Chapter 4. Interpretation in Specific Deep Learning Architectures.- Chapter 5. Fuzzy Deep Learning.</p><p></p>
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