Interpretability in Deep Learning
Ayush Somani, Alexander Horsch, Dilip K. Prasad
Abstract
This book is a comprehensive curation, exposition, and illustrative discussion of recent research tools for interpretability of deep learning models.
Topics & Concepts
InterpretabilityArtificial intelligenceComputer sciencePsychologyAdversarial Robustness in Machine Learning