new cfg files for classification

cfg/strided.cfg

@@ -0,0 +1,182 @@
+[net]
+batch=128
+subdivisions=2
+height=256
+width=256
+channels=3
+learning_rate=0.01
+momentum=0.9
+decay=0.0005
+seen=0
+
+[crop]
+crop_height=224
+crop_width=224
+flip=1
+angle=15
+saturation=1.5
+exposure=1.5
+
+[convolutional]
+filters=64
+size=7
+stride=2
+pad=1
+activation=ramp
+
+[convolutional]
+filters=192
+size=3
+stride=2
+pad=1
+activation=ramp
+
+[convolutional]
+filters=128
+size=1
+stride=1
+pad=1
+activation=ramp
+
+[convolutional]
+filters=256
+size=3
+stride=2
+pad=1
+activation=ramp
+
+[convolutional]
+filters=128
+size=1
+stride=1
+pad=1
+activation=ramp
+
+[convolutional]
+filters=256
+size=3
+stride=1
+pad=1
+activation=ramp
+
+[convolutional]
+filters=128
+size=1
+stride=1
+pad=1
+activation=ramp
+
+[convolutional]
+filters=512
+size=3
+stride=2
+pad=1
+activation=ramp
+
+[convolutional]
+filters=256
+size=1
+stride=1
+pad=1
+activation=ramp
+
+[convolutional]
+filters=512
+size=3
+stride=1
+pad=1
+activation=ramp
+
+[convolutional]
+filters=256
+size=1
+stride=1
+pad=1
+activation=ramp
+
+[convolutional]
+filters=512
+size=3
+stride=1
+pad=1
+activation=ramp
+
+[convolutional]
+filters=256
+size=1
+stride=1
+pad=1
+activation=ramp
+
+[convolutional]
+filters=512
+size=3
+stride=1
+pad=1
+activation=ramp
+
+[convolutional]
+filters=256
+size=1
+stride=1
+pad=1
+activation=ramp
+
+[convolutional]
+filters=512
+size=3
+stride=1
+pad=1
+activation=ramp
+
+[convolutional]
+filters=256
+size=1
+stride=1
+pad=1
+activation=ramp
+
+[convolutional]
+filters=1024
+size=3
+stride=2
+pad=1
+activation=ramp
+
+[convolutional]
+filters=512
+size=1
+stride=1
+pad=1
+activation=ramp
+
+[convolutional]
+filters=1024
+size=3
+stride=1
+pad=1
+activation=ramp
+
+[maxpool]
+size=3
+stride=2
+
+[dropout]
+probability=0.5
+
+[connected]
+output=4096
+activation=ramp
+
+[dropout]
+probability=0.5
+
+[connected]
+output=1000
+activation=ramp
+
+[softmax]
+
+[cost]
+type=sse
+

cfg/vgg-16.cfg

@@ -0,0 +1,152 @@
+[net]
+batch=128
+subdivisions=8
+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=2
+saturation=2
+angle=5
+
+[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]
+
+[cost]
+type=sse
+