# The train/test net protocol buffer definition net: "models/HOwt_png_vgg_A_bn.prototxt" # test_iter specifies how many forward passes the test should carry out. # In the case of MNIST, we have test batch size 100 and 100 test iterations, # covering the full 10,000 testing images. test_iter: 125 # Carry out testing every 700 training iterations. test_interval: 700 # The base learning rate, momentum and the weight decay of the network. base_lr: 0.1 gamma: 0.5 # after 25 epochs (650 x 25) stepsize: 16250 momentum: 0.9 weight_decay: 0.0005 # The learning rate policy lr_policy: "step" # Display every 100 iterations display: 100 # The maximum number of iterations (300 epochs) max_iter: 195000 # snapshot intermediate results (after every 5 epochs) snapshot: 3250 snapshot_prefix: "models/HOwt_png_vgg_A_bn/HOwt_png_vgg_A_bn" # solver mode: CPU or GPU solver_mode: GPU