A Multilayer Network-Based Approach for Interpreting and Compressing Convolutional Neural Networks.

We propose an approach to map a convolutional neural network (CNN) into a multilayer network. It allows the interpretability of the internal structure of deep learning architectures. Then, we use this representation to compress the CNN.