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47
layers-cifar/layer-params-18pct-noisylr.cfg
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47
layers-cifar/layer-params-18pct-noisylr.cfg
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# 18% error on CIFAR-10 in 20 minutes - layer definition file
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# Reduce all learning rates by factor of 10 after 120 epochs.
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# Then another factor of 10 after 10 more epochs.
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[conv1]
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epsW=0.001
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epsB=0.002
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momW=0.9
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momB=0.9
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wc=0.004
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schedW=linear[1,1]
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[conv2]
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epsW=0.001
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epsB=0.002
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momW=0.9
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momB=0.9
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wc=0.004
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schedW=linear[1,1]
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[conv3]
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epsW=0.001
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epsB=0.002
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momW=0.9
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momB=0.9
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wc=0.004
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schedW=linear[1,1]
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[fc10]
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epsW=0.001
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epsB=0.002
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momW=0.9
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momB=0.9
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wc=1
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schedW=linear[1,1]
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[logprob]
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coeff=1
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[rnorm1]
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scale=0.00005
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pow=.75
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[rnorm2]
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scale=0.00005
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pow=.75
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45
layers-cifar/layer-params-conv-local-13pct-noisylr.cfg
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45
layers-cifar/layer-params-conv-local-13pct-noisylr.cfg
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# 13% error on CIFAR-10 - layer parameter file
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# See methodology: http://code.google.com/p/cuda-convnet/wiki/Methodology
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[conv1]
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epsW=0.00001
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epsB=0.002
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momW=0.9
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momB=0.9
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wc=0.00
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schedW=linear[1,1]
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[conv2]
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epsW=0.00001
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epsB=0.002
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momW=0.9
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momB=0.9
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wc=0.00
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schedW=linear[1,1]
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[local3]
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epsW=0.00001
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epsB=0.002
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momW=0.9
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momB=0.9
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wc=0.004
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schedW=linear[1,1]
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[local4]
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epsW=0.00001
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epsB=0.002
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momW=0.9
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momB=0.9
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wc=0.004
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schedW=linear[1,1]
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[fc10]
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epsW=0.00001
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epsB=0.002
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momW=0.9
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momB=0.9
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wc=0.004
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schedW=linear[1,1]
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[logprob]
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coeff=1
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106
layers-cifar/layers-18pct.cfg
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layers-cifar/layers-18pct.cfg
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# 18% error on CIFAR-10 in 20 minutes - layer definition file
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[data]
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type=data
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dataIdx=0
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[labels]
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type=data
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dataIdx=1
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[conv1]
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type=conv
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inputs=data
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channels=3
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filters=32
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padding=2
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stride=1
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filterSize=5
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initW=0.0001
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partialSum=4
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sharedBiases=1
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gpu=0
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[pool1]
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type=pool
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pool=max
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inputs=conv1
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start=0
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sizeX=3
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stride=2
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outputsX=0
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channels=32
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neuron=relu
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[rnorm1]
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type=rnorm
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inputs=pool1
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channels=32
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size=3
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[conv2]
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type=conv
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inputs=rnorm1
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filters=32
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padding=2
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stride=1
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filterSize=5
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channels=32
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neuron=relu
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initW=0.01
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partialSum=4
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sharedBiases=1
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[pool2]
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type=pool
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pool=avg
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inputs=conv2
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start=0
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sizeX=3
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stride=2
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outputsX=0
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channels=32
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[rnorm2]
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type=rnorm
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inputs=pool2
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channels=32
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size=3
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[conv3]
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type=conv
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inputs=rnorm2
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filters=64
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padding=2
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stride=1
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filterSize=5
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channels=32
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neuron=relu
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initW=0.01
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partialSum=4
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sharedBiases=1
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[pool3]
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type=pool
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pool=avg
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inputs=conv3
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start=0
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sizeX=3
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stride=2
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outputsX=0
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channels=64
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[fc10]
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type=fc
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outputs=10
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inputs=pool3
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initW=0.01
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[probs]
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type=softmax
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inputs=fc10
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[logprob]
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type=cost.logreg
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inputs=labels,probs
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gpu=0
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95
layers-cifar/layers-conv-local-13pct.cfg
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layers-cifar/layers-conv-local-13pct.cfg
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# 13% error on CIFAR-10 in 20 minutes - layer definition file
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# See methodology: http://code.google.com/p/cuda-convnet/wiki/Methodology
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[data]
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type=data
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dataIdx=0
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[labels]
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type=data
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dataIdx=1
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[conv1]
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type=conv
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inputs=data
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channels=3
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filters=64
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padding=2
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stride=1
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filterSize=5
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neuron=relu
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initW=0.0001
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partialSum=4
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sharedBiases=1
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gpu=0
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[pool1]
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type=pool
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pool=max
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inputs=conv1
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start=0
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sizeX=3
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stride=2
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outputsX=0
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channels=64
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[conv2]
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type=conv
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inputs=pool1
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filters=64
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padding=2
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stride=1
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filterSize=5
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channels=64
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neuron=relu
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initW=0.01
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partialSum=8
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sharedBiases=1
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[pool2]
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type=pool
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pool=max
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inputs=conv2
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start=0
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sizeX=3
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stride=2
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outputsX=0
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channels=64
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[local3]
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type=local
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inputs=pool2
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filters=32
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padding=1
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stride=1
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filterSize=3
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channels=64
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neuron=relu
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initW=0.04
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[local4]
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type=local
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inputs=local3
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filters=32
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padding=1
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stride=1
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filterSize=3
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channels=32
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neuron=relu
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initW=0.04
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[fc10]
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type=fc
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outputs=10
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inputs=local4
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initW=0.01
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neuron=ident
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[probs]
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type=softmax
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inputs=fc10
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[logprob]
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type=cost.logreg
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inputs=labels,probs
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gpu=0
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