[conv1a]
epsW=0.01
epsB=0.02
momW=0.9
momB=0.9
wc=0.0005
wball=0.00
sched=linear[1000]

[conv1b]
epsW=0.01
epsB=0.02
momW=0.9
momB=0.9
wc=0.0005
wball=0.00
sched=linear[1000]

[conv2a]
epsW=0.01
epsB=0.02
momW=0.9
momB=0.9
wc=0.0005
wball=0.00
sched=linear[1000]

[conv2b]
epsW=0.01
epsB=0.02
momW=0.9
momB=0.9
wc=0.0005
wball=0.00
sched=linear[1000]

[conv3a]
epsW=0.01,0.01
epsB=0.02
momW=0.9,0.9
momB=0.9
wc=0.0005,0.0005
wball=0,0
sched=linear[1000]

[conv3b]
epsW=0.01,0.01
epsB=0.02
momW=0.9,0.9
momB=0.9
wc=0.0005,0.0005
wball=0,0
sched=linear[1000]

[conv4a]
epsW=0.01
epsB=0.02
momW=0.9
momB=0.9
wc=0.0005
wball=0
sched=linear[1000]

[conv4b]
epsW=0.01
epsB=0.02
momW=0.9
momB=0.9
wc=0.0005
wball=0
sched=linear[1000]

[conv5a]
epsW=0.01
epsB=0.02
momW=0.9
momB=0.9
wc=0.0005
wball=0
sched=linear[1000]

[conv5b]
epsW=0.01
epsB=0.02
momW=0.9
momB=0.9
wc=0.0005
wball=0
sched=linear[1000]

[fc2048a]
epsW=0.01,0.01
epsB=0.02
momW=0.9,0.9
momB=0.9
wc=0.0005,0.0005
wball=0,0
sched=linear[1000]

[fc2048b]
epsW=0.01,0.01
epsB=0.02
momW=0.9,0.9
momB=0.9
wc=0.0005,0.0005
wball=0,0
sched=linear[1000]

[fc2048ba]
epsW=0.01,0.01
epsB=0.02
momW=0.9,0.9
momB=0.9
wc=0.0005,0.0005
wball=0,0
sched=linear[1000]

[fc2048bb]
epsW=0.01,0.01
epsB=0.02
momW=0.9,0.9
momB=0.9
wc=0.0005,0.0005
wball=0,0
sched=linear[1000]

[fc1000]
epsW=0.01,0.01
epsB=0.02
momW=0.9,0.9
momB=0.9
wc=0.0005,0.0005
wball=0,0
sched=linear[1000]

[logprob]
coeff=1
topk=5

[hs1a]
enable=true

[hs2a]
enable=true

[hs1b]
enable=true

[hs2b]
enable=true

[rnorm1a]
scale=0.0001
pow=0.75
minDiv=2

[rnorm1b]
scale=0.0001
pow=0.75
minDiv=2

[rnorm2a]
scale=0.0001
pow=0.75
minDiv=2

[rnorm2b]
scale=0.0001
pow=0.75
minDiv=2

[cnorm2a]
scale=0.001
pow=0.75

[cnorm2b]
scale=0.001
pow=0.75

# this is like #145 but with linear learning rate schedule
# on guppy9
# /nobackup/kriz/tmp/ConvNet__2012-12-18_22.39.10
# logs/layers-153.log
# epoch 18: killed. i realized linear learning rate schedule is completely mental.