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- [net]
- # Training
- # batch=128
- # subdivisions=4
- # Testing
- batch=1
- subdivisions=1
- 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
|
