caffe_checklist.txt

solver.prototxt
1. net:
2. snapshot_prefix:
3. solver_mode:

Optional
test_interval:
max_iter:
snapshot:

train_val.prototxt
1. source: # 2 occurences
2. num_output:
3. blob_lr: # change it to zero for layers which need not be trained
4. image_size

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

deploy.prototxt
1. num_output:
2. image_size:


## check number of images per combinatio of labels
# e.g. images with label 1 3
# script written for the case when there are only 2 labels
# label 1 has classes from 0 to 7 and label 2 has classes from 0 to 4
for i in $(seq 0 7); do for j in $(seq 0 4); do printf "%2d %2d:\t" "$i" "$j"; cat train.txt | grep " $i $j" | wc -l; done; done