[data]
type=data
dataIdx=0

[labels]
type=data
dataIdx=1

[conv1]
type=conv
inputs=data
channels=1
filters=64
padding=3
stride=2
filterSize=7
neuron=relu
initW=0.0001
sumWidth=4
sharedBiases=1
gpu=0

[rnorm1]
type=cmrnorm
inputs=conv1
channels=64
size=9

[conv2]
type=conv
inputs=rnorm1
filters=16
padding=2
stride=1
filterSize=5
channels=64
neuron=relu
initW=0.01
sumWidth=2
sharedBiases=1

[rnorm2]
type=cmrnorm
inputs=conv2
channels=16
size=9

[fc8]
type=fc
outputs=1000
inputs=rnorm2
initW=0.01
neuron=relu

[fc9]
type=fc
outputs=1000
inputs=fc8
initW=0.01
neuron=relu

[fc10]
type=fc
outputs=2
inputs=fc9
initW=0.01

[probs]
type=softmax
inputs=fc10

[logprob]
type=cost.logreg
inputs=labels,probs
gpu=0