Functional Network: A Novel Framework for Interpretability of Deep Neural Networks. (arXiv:2205.11702v1 [cs.LG])

The layered structure of deep neural networks hinders the use of numerous
analysis tools and thus the development of its interpretability. Inspired by
the success of functional brain networks, we propose a novel framework for
interpretability of deep neural networks, that is, the functional network. We
construct the functional network of fully connected networks and explore its
small-worldness. In our experiments, the mechanisms of regularization methods,
namely, batch normalization and dropout, are revealed using graph theoretical
analysis and topological data …

arxiv framework interpretability network networks neural networks