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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
|
| [cost]
|
|
