209 lines
2.9 KiB
INI
209 lines
2.9 KiB
INI
[conv1a]
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epsW=0.0
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epsB=0.0
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momW=0.9
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momB=0.9
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wc=0.0005
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wball=0.00
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schedW=jdexp[500,0,4]
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schedB=dexp[10,0,2]
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[conv1b]
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epsW=0.0
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epsB=0.0
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momW=0.9
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momB=0.9
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wc=0.0005
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wball=0.00
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schedW=jdexp[500,0,4]
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schedB=dexp[10,0,2]
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[conv2a]
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epsW=0.01
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epsB=0.02
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momW=0.9
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momB=0.9
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wc=0.0005
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wball=0.00
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schedW=jdexp[500,0,4]
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schedB=dexp[10,0,2]
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[conv2b]
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epsW=0.01
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epsB=0.02
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momW=0.9
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momB=0.9
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wc=0.0005
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wball=0.00
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schedW=jdexp[500,0,4]
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schedB=dexp[10,0,2]
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[conv3a]
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epsW=0.01,0.01
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epsB=0.02
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momW=0.9,0.9
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momB=0.9
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wc=0.0005,0.0005
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wball=0,0
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schedW=jdexp[500,0,4]
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schedB=dexp[10,0,2]
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[conv3b]
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epsW=0.01,0.01
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epsB=0.02
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momW=0.9,0.9
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momB=0.9
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wc=0.0005,0.0005
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wball=0,0
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schedW=jdexp[500,0,4]
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schedB=dexp[10,0,2]
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[conv4a]
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epsW=0.01
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epsB=0.02
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momW=0.9
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momB=0.9
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wc=0.0005
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wball=0
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schedW=jdexp[500,0,4]
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schedB=dexp[10,0,2]
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[conv4b]
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epsW=0.01
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epsB=0.02
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momW=0.9
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momB=0.9
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wc=0.0005
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wball=0
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schedW=jdexp[500,0,4]
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schedB=dexp[10,0,2]
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[conv5a]
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epsW=0.01
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epsB=0.02
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momW=0.9
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momB=0.9
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wc=0.0005
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wball=0
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schedW=jdexp[500,0,4]
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schedB=dexp[10,0,2]
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[conv5b]
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epsW=0.01
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epsB=0.02
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momW=0.9
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momB=0.9
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wc=0.0005
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wball=0
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schedW=jdexp[500,0,4]
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schedB=dexp[10,0,2]
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[fc2048a]
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epsW=0.01,0.01
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epsB=0.02
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momW=0.9,0.9
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momB=0.9
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wc=0.0005,0.0005
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wball=0,0
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schedW=jdexp[500,0,4]
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schedB=dexp[10,0,2]
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[fc2048b]
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epsW=0.01,0.01
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epsB=0.02
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momW=0.9,0.9
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momB=0.9
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wc=0.0005,0.0005
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wball=0,0
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schedW=jdexp[500,0,4]
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schedB=dexp[10,0,2]
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[fc2048ba]
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epsW=0.01,0.01
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epsB=0.02
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momW=0.9,0.9
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momB=0.9
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wc=0.0005,0.0005
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wball=0,0
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schedW=jdexp[500,0,4]
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schedB=dexp[10,0,2]
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[fc2048bb]
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epsW=0.01,0.01
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epsB=0.02
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momW=0.9,0.9
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momB=0.9
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wc=0.0005,0.0005
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wball=0,0
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schedW=jdexp[500,0,4]
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schedB=dexp[10,0,2]
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[fc1000]
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epsW=0.01,0.01
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epsB=0.02
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momW=0.9,0.9
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momB=0.9
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wc=0.0005,0.0005
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wball=0,0
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schedW=jdexp[500,0,4]
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schedB=dexp[10,0,2]
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[logprob]
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coeff=1
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topk=5
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[hs1a]
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enable=true
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[hs2a]
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enable=true
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[hs1b]
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enable=true
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[hs2b]
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enable=true
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[rnorm1a]
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scale=0.0001
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pow=0.75
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minDiv=2
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[rnorm1b]
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scale=0.0001
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pow=0.75
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minDiv=2
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[rnorm2a]
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scale=0.0001
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pow=0.75
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minDiv=2
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[rnorm2b]
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scale=0.0001
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pow=0.75
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minDiv=2
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[cnorm2a]
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scale=0.001
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pow=0.75
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[cnorm2b]
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scale=0.001
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pow=0.75
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# this is like #159 (so uses same def file: 153) but with jdexp
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# this is also like 172, which uses jdexp, but here i'm usign the kind of jdexp that jumps to geometric mean instead of previous level (and also 172 decayed learning rate by factor of 1000 instead of 500)
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# its also like 169, in that it decays learning rate to 0.00002, but this one's jumpy. so it should be compared to 169.
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# on gpu
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# initialized from 24 epochs of #169
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# logs/layers-174.log
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# /storage/tmp/ConvNet__2013-01-07_04.03.15.layers-174
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# epoch 58: made backup to /storage/tmp/ConvNet__2013-01-07_04.03.15.layers-174.bak
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# epoch 62: set color noise to 0 from 0.1
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# epoch 74: set conv1 epsw to 0 from 0.01
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# epoch 86: killed for noisy epsw experiments
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# moved to guppy9
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# logprob: 1.825121, 0.425222, 0.193946
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# multiview logprob: 1.729982, 0.404380, 0.180420
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