There is an open source package called DIGITS that provides a graphical interface to numerous deep learning techniques using nVidia GPUs.

The curated image sets created using the Web application above are loaded into DIGITS and trained using the existing GoogLeNet pre-trained (i.e. weighted) Caffe network.

The results indicate significant performance on the TOP1 prediction (i.e. the algorithm got it right). Below are the training graphs indicating ~ 66% accuracy for rough-fog and ~ 72% accuracy for damp-cloud.

Results from DIGITS using Caffe & GoogLeNet