| # reduce the learning rate after 8 epochs (4000 iters) by a factor of 10 | |
| # The train/test net protocol buffer definition | |
| net: "examples/cifar10/cifar10_quick_train_test.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: 100 | |
| # Carry out testing every 500 training iterations. | |
| test_interval: 500 | |
| # The base learning rate, momentum and the weight decay of the network. | |
| base_lr: 0.001 | |
| momentum: 0.9 | |
| weight_decay: 0.004 | |
| # The learning rate policy | |
| lr_policy: "fixed" | |
| # Display every 100 iterations | |
| display: 100 | |
| # The maximum number of iterations | |
| max_iter: 4000 | |
| # snapshot intermediate results | |
| snapshot: 4000 | |
| snapshot_prefix: "examples/cifar10/cifar10_quick" | |
| # solver mode: CPU or GPU | |
| solver_mode: GPU | |