2015-08-17 19:00:12 +03:00
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[net]
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2015-09-22 03:30:32 +03:00
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batch=128
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2015-09-05 03:52:44 +03:00
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subdivisions=1
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2015-08-17 19:00:12 +03:00
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height=256
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width=256
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channels=3
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momentum=0.9
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decay=0.0005
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2015-09-17 00:12:10 +03:00
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2015-12-09 02:12:10 +03:00
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learning_rate=0.01
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policy=sigmoid
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gamma=.00002
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step=400000
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max_batches=800000
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2015-08-17 19:00:12 +03:00
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[crop]
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crop_height=224
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crop_width=224
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flip=1
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angle=0
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saturation=1
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exposure=1
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[convolutional]
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filters=16
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size=3
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stride=1
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pad=1
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activation=leaky
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[maxpool]
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2015-09-09 22:48:40 +03:00
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size=2
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2015-08-17 19:00:12 +03:00
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stride=2
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[convolutional]
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filters=32
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size=3
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stride=1
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pad=1
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activation=leaky
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[maxpool]
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2015-09-09 22:48:40 +03:00
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size=2
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2015-08-17 19:00:12 +03:00
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stride=2
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[convolutional]
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filters=64
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size=3
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stride=1
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pad=1
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activation=leaky
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[maxpool]
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2015-09-09 22:48:40 +03:00
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size=2
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2015-08-17 19:00:12 +03:00
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stride=2
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[convolutional]
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filters=128
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size=3
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stride=1
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pad=1
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activation=leaky
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[maxpool]
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2015-09-09 22:48:40 +03:00
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size=2
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2015-08-17 19:00:12 +03:00
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stride=2
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[convolutional]
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filters=256
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size=3
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stride=1
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pad=1
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activation=leaky
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[maxpool]
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2015-09-09 22:48:40 +03:00
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size=2
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2015-08-17 19:00:12 +03:00
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stride=2
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[convolutional]
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filters=512
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size=3
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stride=1
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pad=1
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activation=leaky
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[maxpool]
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2015-09-09 22:48:40 +03:00
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size=2
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2015-08-17 19:00:12 +03:00
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stride=2
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[convolutional]
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filters=1024
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size=3
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stride=1
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pad=1
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activation=leaky
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[avgpool]
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[dropout]
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probability=.5
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[connected]
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output=1000
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2015-09-09 22:48:40 +03:00
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activation=leaky
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2015-08-17 19:00:12 +03:00
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[softmax]
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2015-10-09 22:50:43 +03:00
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groups=1
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2015-08-17 19:00:12 +03:00
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[cost]
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type=sse
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