Topological Measurement of Deep Neural Networks Using Persistent Homology

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.…