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131 lines
1.3 KiB
131 lines
1.3 KiB
[net] |
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batch=1 |
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subdivisions=1 |
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height=19 |
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width=19 |
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channels=1 |
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momentum=0.9 |
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decay=0.0005 |
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learning_rate=0.1 |
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policy=poly |
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power=4 |
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max_batches=400000 |
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[convolutional] |
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filters=192 |
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size=3 |
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stride=1 |
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pad=1 |
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activation=relu |
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batch_normalize=1 |
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[convolutional] |
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filters=192 |
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size=3 |
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stride=1 |
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pad=1 |
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activation=relu |
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batch_normalize=1 |
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[convolutional] |
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filters=192 |
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size=3 |
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stride=1 |
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pad=1 |
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activation=relu |
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batch_normalize=1 |
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[convolutional] |
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filters=192 |
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size=3 |
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stride=1 |
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pad=1 |
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activation=relu |
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batch_normalize=1 |
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[convolutional] |
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filters=192 |
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size=3 |
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stride=1 |
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pad=1 |
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activation=relu |
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batch_normalize=1 |
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[convolutional] |
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filters=192 |
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size=3 |
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stride=1 |
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pad=1 |
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activation=relu |
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batch_normalize=1 |
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[convolutional] |
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filters=192 |
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size=3 |
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stride=1 |
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pad=1 |
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activation=relu |
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batch_normalize=1 |
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[convolutional] |
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filters=192 |
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size=3 |
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stride=1 |
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pad=1 |
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activation=relu |
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batch_normalize=1 |
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[convolutional] |
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filters=192 |
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size=3 |
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stride=1 |
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pad=1 |
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activation=relu |
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batch_normalize=1 |
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[convolutional] |
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filters=192 |
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size=3 |
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stride=1 |
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pad=1 |
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activation=relu |
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batch_normalize=1 |
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|
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[convolutional] |
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filters=192 |
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size=3 |
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stride=1 |
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pad=1 |
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activation=relu |
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batch_normalize=1 |
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|
|
[convolutional] |
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filters=192 |
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size=3 |
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stride=1 |
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pad=1 |
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activation=relu |
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batch_normalize=1 |
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|
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[convolutional] |
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filters=192 |
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size=3 |
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stride=1 |
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pad=1 |
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activation=relu |
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batch_normalize=1 |
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[convolutional] |
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filters=1 |
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size=1 |
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stride=1 |
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pad=1 |
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activation=linear |
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[softmax] |
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[cost] |
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type=sse |
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