darknet/cfg/vgg-16.cfg
2015-07-20 14:56:53 -07:00

154 lines
1.4 KiB
INI

[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=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
[cost]
type=sse