TY  - DATA
AU  - Somani, Ayush.
AU  - Horsch, Alexander.
AU  - Prasad, Dilip K.
TI  - Interpretability in Deep Learning
SN  - 9783031206399
U1  - 006.3 
PY  - 2023///
CY  - Cham 
PB  - Springer International Publishing 
KW  - Artificial intelligence
KW  - Artificial Intelligence
KW  - Computer vision
KW  - Computer Vision
KW  - Knowledge management
KW  - Knowledge Management
KW  - Operations Research and Decision Theory
KW  - Operations research
N2  - 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.
UR  - https://doi.org/10.1007/978-3-031-20639-9
ER  -