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 ...
10. Explainable AI for Computer Vision
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