# The train/test net protocol buffer definition net: "models/smile/smile_train_test.prototxt" # Specifies how many forward passes the test should carry out. # Test batch size 48*30 iterations = 1440 testing images. test_iter: 30 # Carry out testing every 1000 training iterations. test_interval: 1000 # The learning rate policy # begin training at a learning rate of 0.01 = 1e-2 base_lr: 0.01 momentum: 0.9 weight_decay: 0.00001 # learning rate policy: drop the learning rate in # "steps" by a factor of gamma every stepsize iterations lr_policy: "step" # drop the learning rate by a factor of 10 # (i.e., multiply it by a factor of gamma = 0.1) gamma: 0.1 # Drop the learning rate every 10K iterations stepsize: 10000 # train for 100K iterations total max_iter: 60000 # Display every 100 iterations display: 100 # snapshot intermediate results snapshot: 20000 snapshot_format: HDF5 snapshot_prefix: "models/smile/smile" # solver mode: CPU or GPU solver_mode: GPU