Examples:
Fine-tuning CaffeNet for Style Recognition on “Flickr Style” Data
How to transform models in Caffe:
Related projects:

R-CNN: Regions with CNN
Ross Girshick et al. Rich feature hierarchies for accurate object detection and semantic segmentation. CVPR14.
Full scripts:
Visual Style Recognition:
Karayev et al. Recognizing Image Style. BMVC14. Caffe fine-tuning example
Latest Roast:
- BVLC reference models
- VGG Devil + ILSVRC14 models in the zoo
- Network-in-Network / CCCP model in the zoo

Caffe + cuDNN

Parallel / distributed training across CPUs, GPUs, and cluster nodes

参考:DIY Deep Learning for Vision with Caffe slides

https://docs.google.com/presentation/d/1UeKXVgRvvxg9OUdh_UiC5G71UMscNPlvArsWER41PsU/preview?sle=true#slide=id.p