caffe

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# The train/test net protocol buffer definition
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train_net: "mnist/lenet_auto_train.prototxt"
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test_net: "mnist/lenet_auto_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 MNIST, 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 500 training iterations.
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test_interval: 500
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# The base learning rate, momentum and the weight decay of the network.
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base_lr: 0.01
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momentum: 0.9
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weight_decay: 0.0005
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# The learning rate policy
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lr_policy: "inv"
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gamma: 0.0001
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power: 0.75
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# Display every 100 iterations
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display: 100
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# The maximum number of iterations
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max_iter: 10000
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# snapshot intermediate results
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snapshot: 5000
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snapshot_prefix: "mnist/lenet"
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