зеркало из https://github.com/microsoft/caffe.git
29 строки
975 B
Plaintext
29 строки
975 B
Plaintext
# reduce learning rate after 120 epochs (60000 iters) by factor 0f 10
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# then another factor of 10 after 10 more epochs (5000 iters)
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# The training protocol buffer definition
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train_net: "cifar10_full_train.prototxt"
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# The testing protocol buffer definition
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test_net: "cifar10_full_test.prototxt"
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# test_iter specifies how many forward passes the test should carry out.
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# In the case of CIFAR10, we have test batch size 100 and 100 test iterations,
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# covering the full 10,000 testing images.
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test_iter: 100
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# Carry out testing every 1000 training iterations.
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test_interval: 1000
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# The base learning rate, momentum and the weight decay of the network.
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base_lr: 0.00001
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momentum: 0.9
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weight_decay: 0.004
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# The learning rate policy
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lr_policy: "fixed"
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# Display every 200 iterations
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display: 200
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# The maximum number of iterations
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max_iter: 70000
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# snapshot intermediate results
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snapshot: 5000
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snapshot_prefix: "cifar10_full"
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# solver mode: 0 for CPU and 1 for GPU
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solver_mode: 1
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