© The Author(s), under exclusive license to APress Media, LLC, part of Springer Nature 2022
A. Kulkarni et al.Computer Vision Projects with PyTorchhttps://doi.org/10.1007/978-1-4842-8273-1_10

10. Explainable AI for Computer Vision

Akshay Kulkarni1  , Adarsha Shivananda2 and Nitin Ranjan Sharma3
(1)
Bangalore, Karnataka, India
(2)
Hosanagara tq, Shimoga dt, Karnataka, India
(3)
Bangalore, India
 

Most machine learning and deep learning models lack a way of explaining and interpreting results. Due to the dynamic nature of deep learning models and increasing state-of-the-art models, the current model evaluation is based on accuracy scores. This makes machine learning and deep learning black-box models. This leads to lack of confidence in applying the model ...

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