after the last layer we keep the pre-trained model we add a new layer with two nodes one node to capture how urban the photo is and another to capture how rural it is in theory any node in the last layer before prediction might inform how urban it is so the urban measure can depend on all the nodes in this layer we draw connections to show that possible relationship for the same reason the information at each node might affect our measure of how rural the photo is so our structure looks like this we have a lot of