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| [net] | |
| batch=128 | |
| subdivisions=1 | |
| height=32 | |
| width=32 | |
| channels=3 | |
| momentum=0.9 | |
| decay=0.0005 | |
| learning_rate=0.4 | |
| policy=poly | |
| power=4 | |
| max_batches = 50000 | |
| [convolutional] | |
| batch_normalize=1 | |
| filters=128 | |
| size=3 | |
| stride=1 | |
| pad=1 | |
| activation=leaky | |
| [convolutional] | |
| batch_normalize=1 | |
| filters=128 | |
| size=3 | |
| stride=1 | |
| pad=1 | |
| activation=leaky | |
| [convolutional] | |
| batch_normalize=1 | |
| filters=128 | |
| size=3 | |
| stride=1 | |
| pad=1 | |
| activation=leaky | |
| [maxpool] | |
| size=2 | |
| stride=2 | |
| [dropout] | |
| probability=.5 | |
| [convolutional] | |
| batch_normalize=1 | |
| filters=256 | |
| size=3 | |
| stride=1 | |
| pad=1 | |
| activation=leaky | |
| [convolutional] | |
| batch_normalize=1 | |
| filters=256 | |
| size=3 | |
| stride=1 | |
| pad=1 | |
| activation=leaky | |
| [convolutional] | |
| batch_normalize=1 | |
| filters=256 | |
| size=3 | |
| stride=1 | |
| pad=1 | |
| activation=leaky | |
| [maxpool] | |
| size=2 | |
| stride=2 | |
| [dropout] | |
| probability=.5 | |
| [convolutional] | |
| batch_normalize=1 | |
| filters=512 | |
| size=3 | |
| stride=1 | |
| pad=1 | |
| activation=leaky | |
| [convolutional] | |
| batch_normalize=1 | |
| filters=512 | |
| size=3 | |
| stride=1 | |
| pad=1 | |
| activation=leaky | |
| [convolutional] | |
| batch_normalize=1 | |
| filters=512 | |
| size=3 | |
| stride=1 | |
| pad=1 | |
| activation=leaky | |
| [dropout] | |
| probability=.5 | |
| [convolutional] | |
| filters=10 | |
| size=1 | |
| stride=1 | |
| pad=1 | |
| activation=leaky | |
| [avgpool] | |
| [softmax] | |
| groups=1 | |
| temperature=3 | |