object recognition task to the nighttime light intensity pre-diction problem. We start with a CNN model with parame-ters trained on ImageNet, then modify the network to adapt itto the new task (i.e., change the classiﬁer on the last layer toreﬂect the new nighttime light prediction task). We train onthe new task using SGD with momentum, using ImageNetparameters as initialization to achieve knowledge transfer.