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| [net]
| batch=128
| subdivisions=4
| height=256
| width=256
| channels=3
| learning_rate=0.00001
| momentum=0.9
| decay=0.0005
|
| [crop]
| crop_height=224
| crop_width=224
| flip=1
| exposure=1
| saturation=1
| angle=0
|
| [convolutional]
| filters=64
| size=3
| stride=1
| pad=1
| activation=relu
|
| [convolutional]
| filters=64
| size=3
| stride=1
| pad=1
| activation=relu
|
| [maxpool]
| size=2
| stride=2
|
| [convolutional]
| filters=128
| size=3
| stride=1
| pad=1
| activation=relu
|
| [convolutional]
| filters=128
| size=3
| stride=1
| pad=1
| activation=relu
|
| [maxpool]
| size=2
| stride=2
|
| [convolutional]
| filters=256
| size=3
| stride=1
| pad=1
| activation=relu
|
| [convolutional]
| filters=256
| size=3
| stride=1
| pad=1
| activation=relu
|
| [convolutional]
| filters=256
| size=3
| stride=1
| pad=1
| activation=relu
|
| [maxpool]
| size=2
| stride=2
|
| [convolutional]
| filters=512
| size=3
| stride=1
| pad=1
| activation=relu
|
| [convolutional]
| filters=512
| size=3
| stride=1
| pad=1
| activation=relu
|
| [convolutional]
| filters=512
| size=3
| stride=1
| pad=1
| activation=relu
|
| [maxpool]
| size=2
| stride=2
|
| [convolutional]
| filters=512
| size=3
| stride=1
| pad=1
| activation=relu
|
| [convolutional]
| filters=512
| size=3
| stride=1
| pad=1
| activation=relu
|
| [convolutional]
| filters=512
| size=3
| stride=1
| pad=1
| activation=relu
|
| [maxpool]
| size=2
| stride=2
|
| [connected]
| output=4096
| activation=relu
|
| [dropout]
| probability=.5
|
| [connected]
| output=4096
| activation=relu
|
| [dropout]
| probability=.5
|
| [connected]
| output=1000
| activation=linear
|
| [softmax]
| groups=1
|
| [cost]
| type=sse
|
|
