Exploring Learned Representations of Neural Networks with Principal Component Analysis

Amit Harlev, Andrew Engel, Panos Stinis +1

Understanding feature representation for deep neural networks (DNNs) remains an open question within the general field of explainable AI. We use principal component analysis (PCA)…