net: "train_val_total.prototxt" base_lr: 5e-5 momentum: 0.9 weight_decay: 0.0005 # The learning rate policy lr_policy: "fixed" gamma: 0.3 # stepsize to decrease learning rate. This should depend on your dataset size stepsize: 50000 # Display every 100 iterations display: 5 # The maximum number of iterations max_iter: 300000 # snapshot intermediate results snapshot: 1000 snapshot_prefix: "D:/handtrain_total/hand_train" # solver mode: CPU or GPU solver_mode: GPU