[net]
batch=128
subdivisions=1
height=28
width=28
channels=3
max_crop=32
min_crop=32

hue=.1
saturation=.75
exposure=.75

learning_rate=0.4
policy=poly
power=4
max_batches = 5000
momentum=0.9
decay=0.0005


[convolutional]
batch_normalize=1
filters=128
size=3
stride=1
pad=1
activation=leaky

[convolutional]
batch_normalize=1
filters=128
size=3
stride=1
pad=1
activation=leaky

[convolutional]
batch_normalize=1
filters=128
size=3
stride=1
pad=1
activation=leaky

[maxpool]
size=2
stride=2

[dropout]
probability=.5

[convolutional]
batch_normalize=1
filters=256
size=3
stride=1
pad=1
activation=leaky

[convolutional]
batch_normalize=1
filters=256
size=3
stride=1
pad=1
activation=leaky

[convolutional]
batch_normalize=1
filters=256
size=3
stride=1
pad=1
activation=leaky

[maxpool]
size=2
stride=2

[dropout]
probability=.5

[convolutional]
batch_normalize=1
filters=512
size=3
stride=1
pad=1
activation=leaky

[convolutional]
batch_normalize=1
filters=512
size=3
stride=1
pad=1
activation=leaky

[convolutional]
batch_normalize=1
filters=512
size=3
stride=1
pad=1
activation=leaky

[dropout]
probability=.5

[convolutional]
filters=10
size=1
stride=1
pad=1
activation=leaky

[avgpool]

[softmax]
groups=1

[cost]