Recurrent convolution networks

Key features

• Both feed-forward and recurrent connections have local connectivity and shared weights among different locations.
• Architecture is very similar to the recurrent multi layer perceptron
• The main difference is that the full connections in RMLP are replaced by shared local connections, just as the difference between MLP and CNN.

Comparision between CNN and RCNN

Model architecture