net: "examples/deep_drive/deep_drive_model.prototxt"
test_iter: 1000
test_interval: 2000
type: "Adam"
momentum: 0.8
momentum2: 0.9
base_lr: 0.0002
# manually decay to the following when learning subsides
#base_lr: 0.00002
#base_lr: 0.000002
#base_lr: 0.0000002
#base_lr: 0.00000002
#base_lr: 0.000000002
lr_policy: "step" # learning rate policy: drop the learning rate in "steps"
                  # by a factor of gamma every stepsize iterations
gamma: 0.1        # drop the learning rate by this factor
stepsize: 20000   # drop the learning rate by above every stepsize iterations
snapshot: 20000
snapshot_prefix: "caffe_deep_drive_train"
max_iter: 50000000
weight_decay: 0.0005
display: 40
solver_mode: GPU
test_initialization: false
#debug_info: true