Revisiting Orthogonality Regularization: A Study for Convolutional Neural Networks in Image Classification
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DOI: 10.1109/access.2022.3185621
Abstract: Recent research in deep Convolutional Neural Networks (CNN) faces the challenges of vanishing/exploding gradient issues, training instability, and feature redundancy. Orthogonality Regularization (OR), which introduces a penalty function considering the orthogonality of neural networks, could… read more here.
Keywords: orthogonality regularization; neural networks; revisiting orthogonality; regularization ... See more keywords