someConfigFile.yaml

# If want to input None, use !!null


numLayers: 5
imgCol: 500
imgRow: 500
batch_size: 128
initWeights: True
weightsDir: '/some/dir/'   #You can use pretrained weights from here : https://github.com/uoguelph-mlrg/theano_alexnet/tree/master/pretrained/alexnet
weightFileTag: '_65'
mean_file: /loc/of/meanfile.npy
prob_drop: 0.6


#training data
filename: /scratch0/sem4/domainAdaptation/code/bitbucketcode/tempdata/trainBaseline/database/BigSplit_dslr.txt
imgRoot: /scratch0/sem4/domainAdaptation/tempData/augmentedResized/office/domain_adaptation_images/

#training params
numEpochs: 10
initLR: 0.00007
gamma: 0.8
stepsize: 1000
momentum: 0.9
lrMultipliers: 0.1,0.2,0.1,0.2,0.1,0.2,1,2,1,2,1,2,1,2,1,2,1,2
regularize: 0.1,0.1,0.1,0.1,0.1,0.1


# conv library
lib_conv: cudnn  # or cudaconvnet

snapshot: 100  # frequency of saving weights
print_freq: 20  # frequency of printing training error rate
snapshot_prefix: /scratch0/sem4/domainAdaptation/code/bitbucketcode/tempdata/trainBaseline/dslr/try2/