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| [net]
| batch=1
| subdivisions=1
| height=19
| width=19
| channels=1
| momentum=0.9
| decay=0.0005
|
| learning_rate=0.1
| max_batches = 0
| policy=steps
| steps=50000
| scales=.1
|
| [convolutional]
| filters=512
| size=3
| stride=1
| pad=1
| activation=leaky
| batch_normalize=1
|
| [convolutional]
| filters=256
| size=1
| stride=1
| pad=1
| activation=leaky
| batch_normalize=1
|
| [convolutional]
| filters=512
| size=3
| stride=1
| pad=1
| activation=leaky
| batch_normalize=1
|
| [convolutional]
| filters=256
| size=1
| stride=1
| pad=1
| activation=leaky
| batch_normalize=1
|
| [convolutional]
| filters=512
| size=3
| stride=1
| pad=1
| activation=leaky
| batch_normalize=1
|
| [convolutional]
| filters=256
| size=1
| stride=1
| pad=1
| activation=leaky
| batch_normalize=1
|
| [convolutional]
| filters=512
| size=3
| stride=1
| pad=1
| activation=leaky
| batch_normalize=1
|
| [convolutional]
| filters=256
| size=1
| stride=1
| pad=1
| activation=leaky
| batch_normalize=1
|
| [convolutional]
| filters=512
| size=3
| stride=1
| pad=1
| activation=leaky
| batch_normalize=1
|
| [convolutional]
| filters=256
| size=1
| stride=1
| pad=1
| activation=leaky
| batch_normalize=1
|
| [convolutional]
| filters=1
| size=1
| stride=1
| pad=1
| activation=leaky
|
| [softmax]
|
| [cost]
| type=sse
|
|
