/
alexnet.cfg
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/
alexnet.cfg
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[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