Deconvolution Networks - rugbyprof/5443-Data-Mining GitHub Wiki

Deconvolutional networks (De Conv Nets) have been proposed to visualize image patterns that strongly activate any given neuron in a Convolutional Neural Networks and therefore shed some light on the Convolutional Neural Networks structure. However, the De Conv Net construction is partially heuristic and so are the corresponding visualizations.

Reference: https://www.robots.ox.ac.uk/~vedaldi/assets/pubs/mahendran16salient.pdf