HCRF_s1_solver.prototxt

# The train/test net protocol buffer definition
net: "examples/DecisionTree_CNN/extra/HCRF_s1_Coarse_SR.prototxt"
test_iter: 1 #8 for step1 and 8 for step2
test_interval: 10000
# The base learning rate, momentum and the weight decay of the network.
type: "Adam"
base_lr: 0.0001
momentum: 0.9
weight_decay: 0.0001
# The learning rate policy
lr_policy: "fixed"
# Display every 100 iterations
display: 1000
# The maximum number of iterations
max_iter: 1000000
# snapshot intermediate results
snapshot: 10000
snapshot_prefix: "examples/DecisionTree_CNN/extra/Model/face_SR"
# solver mode: CPU or GPU
solver_mode: GPU