GoogLeNet training in Caffe

This is the GoogLeNet (as devised by Szegedy at al) train/test definition in Caffe I did as part of my work at Superfish Ltd.

I've trained it on large scale dataset we have here at Superfish and it's very robust. The attached solver is a default one. One can go ahead and follow the original paper for a more specific implementation of the solver.

The network definition is a bit cumbersome, one might want to implement an Inception module to make things simpler.

I did my best to follow the original paper.
 
For consistency, consider adding `loss_weight: 1.0`