AlexNet/example-layers/layers.gc.cfg
Laurent El Shafey 9fdd561586 Initial commit
2024-12-10 08:56:11 -08:00

112 lines
1.1 KiB
INI

[data]
type=data
dataIdx=0
[labels]
type=data
dataIdx=1
[conv32a]
type=conv
inputs=data
filters=16
padding=0
stride=1
filterSize=3
channels=3
neuron=relu
initW=0.3
initB=1
partialSum=1
sharedBiases=true
gpu=0
[conv32b]
type=conv
inputs=data
filters=16
padding=0
stride=1
filterSize=3
channels=3
neuron=relu
initW=0.3
initB=1
partialSum=1
sharedBiases=true
gpu=1
[conv32c]
type=conv
inputs=data
filters=16
padding=0
stride=1
filterSize=3
channels=3
neuron=relu
initW=0.3
initB=1
partialSum=1
sharedBiases=true
gpu=2
[rnorm1a]
type=cmrnorm
inputs=conv32a
channels=16
size=5
[rnorm1b]
type=cmrnorm
inputs=conv32b
channels=16
size=5
[rnorm1c]
type=cmrnorm
inputs=conv32c
channels=16
size=5
[fc16a]
type=fc
outputs=16
inputs=rnorm1a,rnorm1b,rnorm1c
initW=0.1,0.1,0.1
gpu=0
[fc16b]
type=fc
outputs=16
inputs=rnorm1b,rnorm1c,rnorm1a
initW=0.1,0.1,0.1
gpu=1
[fc16c]
type=fc
outputs=16
inputs=rnorm1c,rnorm1a,rnorm1a
initW=0.1,0.1,0.1
gpu=2
[concat]
type=concat
inputs=fc16a,fc16c,fc16b
[fc10]
type=fc
inputs=concat
outputs=10
initW=0.08
gpu=0
[probs]
type=softmax
inputs=fc10
gpu=0
[logreg]
type=cost.logreg
inputs=labels,probs
gpu=0