conflicting_bundle.py—A python module to identify problematic layers in deep neural networks
David Peer, Sebastian Stabinger, Antonio J. Rodríguez-Sánchez · Software Impacts · 2021
Designing neural network architectures is a challenging task and knowing which specific layers of a neural network must be adapted to improve the performance is almost a mystery. In this paper, we introduce the conflicting_bundle.py module to identify layers that decrease the accuracy of trained networks. Therefore, this software-module helps machine-learning researchers and engineers to precisely analyze and improve neural network architectures. The same software-module can also be used to automatically create improved neural network architectures.