2019
Neural Persistence: A Complexity Measure for Deep Neural Networks Using Algebraic Topology
ICLR 2019poster
While many approaches to make neural networks more fathomable have been proposed, they are restricted to interrogating the network with input data. Measures for characterizing and monitoring structural properties, however, have not been developed. In this work, we propose neural persistence, a compl…