[example] finetuning CaffeNet on Flickr Style data
[example] edit fine-tuning and train on ~2000 images, 1557 / 382 split

- further detail merits of fine-tuning: less starving for itme and data
- set random seed for reproducing the tutorial
- 1557 train / 382 test split is more indicative of training quality
  than splits of 200 images
Merge pull request #970 from sergeyk/dev

Fine-tuning tutorial: adapt CaffeNet to Flickr Style data