caffe各层怎么写

Layer protocol
setup：run once for initialization
forward: make output given input
backward: make gradient of output
-w.r.t. bottom
-w.r.t. parameters(if needed)
reshape: set dimensions

Blob: 存储信息，
1. data, derivatives, and parameters
2. 分配内存
3. shuttle betwwen cpu and gpu

resume training
–snapshot=xxxxxx.solverstate

fine-tune

Lizi:

python examples/finetune_flickr_styl/assemble_data.py --workers=1 --imags=80000 --seed 831486

./script/download_model_binary.py model/bvlc_reference_caffenet`

./build/tools/caffe train -solver models/finetune_flickr_style/solver.prototxt \
-weights models/bvlc_reference_caffenet/bvlc_reference_caffenet.caffemodel -gpu=0

Inference
需要对prototxt修改下，data layer