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Running
| [net] | |
| # Training | |
| # batch=128 | |
| # subdivisions=1 | |
| # Testing | |
| batch=1 | |
| 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 | |