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| [net]
| batch=128
| subdivisions=1
| height=227
| width=227
| channels=3
| momentum=0.9
| decay=0.0005
| max_crop=256
|
| learning_rate=0.01
| policy=poly
| power=4
| max_batches=800000
|
| angle=7
| hue = .1
| saturation=.75
| exposure=.75
| aspect=.75
|
| [convolutional]
| filters=96
| size=11
| stride=4
| pad=0
| activation=relu
|
| [maxpool]
| size=3
| stride=2
| padding=0
|
| [convolutional]
| filters=256
| size=5
| stride=1
| pad=1
| activation=relu
|
| [maxpool]
| size=3
| stride=2
| padding=0
|
| [convolutional]
| filters=384
| size=3
| stride=1
| pad=1
| activation=relu
|
| [convolutional]
| filters=384
| size=3
| stride=1
| pad=1
| activation=relu
|
| [convolutional]
| filters=256
| size=3
| stride=1
| pad=1
| activation=relu
|
| [maxpool]
| size=3
| stride=2
| padding=0
|
| [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
|
|
