Topological Measurement of Deep Neural Networks Using Persistent Homology

1 code implementation • 6 Jun 2021 • Satoru Watanabe, Hayato Yamana

The inner representation of deep neural networks (DNNs) is indecipherable, which makes it difficult to tune DNN models, control their training process, and interpret their outputs.

Topological Data Analysis