Nameexact_genome_1512185335_37_9003_0
Workunit2563534
Created5 Dec 2017, 14:34:42 UTC
Sent5 Dec 2017, 14:47:37 UTC
Report deadline4 Jan 2018, 8:48:12 UTC
Received7 Dec 2017, 7:56:05 UTC
Server stateOver
OutcomeComputation error
Client stateCompute error
Exit status194 (0xc2) EXIT_ABORTED_BY_CLIENT
Computer ID49051
Run time6 hours 46 min 39 sec
CPU time6 hours 46 min
Validate stateInvalid
Credit0.00
Device peak FLOPS1.56 GFLOPS
Application versionEXACT Batch Norm With Scaled FMP CNN Trainer v0.34
Peak working set size163.56 MB
Peak swap size168.70 MB
Peak disk usage3.86 MB

Stderr output

<core_client_version>7.8.3</core_client_version>
<![CDATA[
<message>
(unknown error) - exit code 194 (0xc2)</message>
<stderr_txt>
arguments:
	'projects/csgrid.org_csg/exact_client_0.34_windows_x86_64.exe'
	'--training_file'
	'training_samples.bin'
	'--validation_file'
	'validation_samples.bin'
	'--testing_file'
	'testing_samples.bin'
	'--genome_file'
	'input_genome.txt'
	'--output_file'
	'output_genome.txt'
	'--checkpoint_file'
	'checkpoint.txt'
converting arguments to vector
boincified training filename: '../../projects/csgrid.org_csg/mnist_training_50k.bin'
boincified validation filename: '../../projects/csgrid.org_csg/mnist_validation_10k.bin'
boincified testing filename: '../../projects/csgrid.org_csg/mnist_testing_new.bin'
boincified genome filename: '../../projects/csgrid.org_csg/exact_genome_1512185335_37_9003.txt'
boincified output filename: '../../projects/csgrid.org_csg/exact_genome_1512185335_37_9003_0_r1917784275_0'
boincified checkpoint filename: 'checkpoint.txt'
loading genome
starting from input file: '../../projects/csgrid.org_csg/exact_genome_1512185335_37_9003.txt'
read CNN_Genome file with version string: 'v0.33'
read exact_id: -1
read genome_id: -1
read initial_mu: 0.5
read mu: 0.5
read mu_delta: 0.95
read initial_learning_rate: 0.0125
read learning_rate: 0.0125
read learning_rate_delta: 0.95
read initial_weight_decay: 0.0005
read weight_decay: 0.0005
read weight_decay_delta: 0.95
read batch_size: 50
read epsilon: 1e-07
read alpha: 0.1
read input_dropout_probability: 0
read hidden_dropout_probability: 0
read velocity_reset: 1000
read epoch: 0
read max_epochs: 100
read reset_weights: 0
read padding: 2
read best_epoch: 0
read number_validation_images: 10000
read best_validation_predictions: 0
read best_validation_error: 1e+07
read number_training_images: 50000
read training_predictions: 0
read training_error: 1e+07
read number_test_images: 10000
read test_predictions: 0
read test_error: 1e+07
read generation_id: 9003
read normal distribution: '1 0 0'
generator_str: '17963882'
read generator: 17963882
read generated_by_map:
1 crossover 1
reading 61 nodes.
reading 196 edges.
number input nodes: 1
number softmax nodes: 10
order_size: 0
parsed input file
loaded genome
loading images
number_classes: 10
channels: 1
width: 28
height: 28
reading image set with 4923 images.
reading image set with 5742 images.
reading image set with 4958 images.
reading image set with 5131 images.
reading image set with 4842 images.
reading image set with 4421 images.
reading image set with 4918 images.
reading image set with 5265 images.
reading image set with 4851 images.
reading image set with 4949 images.
image_size: 1x28x28 = 784
read 50000 images.
    class    0: 4923
    class    1: 5742
    class    2: 4958
    class    3: 5131
    class    4: 4842
    class    5: 4421
    class    6: 4918
    class    7: 5265
    class    8: 4851
    class    9: 4949
calculating averages and standard deviations for images
average pixel value for channel 0: 0.130530551075935
pixel variance for channel 0: 0.0948646068572998
pixel standard deviation for channel 0: 0.308000981807709
number_classes: 10
channels: 1
width: 28
height: 28
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
image_size: 1x28x28 = 784
read 10000 images.
    class    0: 1000
    class    1: 1000
    class    2: 1000
    class    3: 1000
    class    4: 1000
    class    5: 1000
    class    6: 1000
    class    7: 1000
    class    8: 1000
    class    9: 1000
number_classes: 10
channels: 1
width: 28
height: 28
reading image set with 980 images.
reading image set with 1135 images.
reading image set with 1032 images.
reading image set with 1010 images.
reading image set with 982 images.
reading image set with 892 images.
reading image set with 958 images.
reading image set with 1028 images.
reading image set with 974 images.
reading image set with 1009 images.
image_size: 1x28x28 = 784
read 10000 images.
    class    0: 980
    class    1: 1135
    class    2: 1032
    class    3: 1010
    class    4: 982
    class    5: 892
    class    6: 958
    class    7: 1028
    class    8: 974
    class    9: 1009
loaded images
starting backpropagation!
generator min: 1, generator max: 2147483646
pre shuffle 1: 1271254194
post shuffle 1: 1630789446
epoch time: 488.908996582031s, input_fired_time: 5.89471483230591, output_fired_time: 5.52489042282104, propagate_forward_time: 182.745635986328, propagate_backward_time: 286.996063232422, weight_update_time: 0.60371208190918, other_time: 7.7476806640625
epoch time: 38.678783416748s, input_fired_time: 0.724792957305908, output_fired_time: 0, propagate_forward_time: 36.6193046569824, propagate_backward_time: 0, weight_update_time: 0, other_time: 1.33468627929688
validation[          , genome  9003] predictions:    9718/  10000 (97.18%), best:    9718/10000 (97.18%), error:       926.68073, best error:       926.68073 on epoch:     0, epoch:    0/100, mu: 0.5000000000, learning_rate: 0.0125000002, weight_decay: 0.0005000000

epoch time: 489.6278381348s, input_fired_time: 5.9672656059, output_fired_time: 5.5550751686, propagate_forward_time: 182.9948730469, propagate_backward_time: 287.1999206543, weight_update_time: 0.6098797917, other_time: 7.9107055664
epoch time: 39.0386657715s, input_fired_time: 0.7391770482, output_fired_time: 0.0000000000, propagate_forward_time: 36.9349555969, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.3645324707
validation[          , genome  9003] predictions:    9766/  10000 (97.66%), best:    9766/10000 (97.66%), error:       759.79388, best error:       759.79388 on epoch:     1, epoch:    1/100, mu: 0.5245000124, learning_rate: 0.0118749999, weight_decay: 0.0004750000

epoch time: 490.2055664063s, input_fired_time: 5.9893469810, output_fired_time: 5.5842342377, propagate_forward_time: 183.1471405029, propagate_backward_time: 287.5487060547, weight_update_time: 0.6156170964, other_time: 7.9361572266
epoch time: 38.8376502991s, input_fired_time: 0.7456354499, output_fired_time: 0.0000000000, propagate_forward_time: 36.6836891174, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.4083251953
validation[          , genome  9003] predictions:    9740/  10000 (97.40%), best:    9766/10000 (97.66%), error:       822.27600, best error:       759.79388 on epoch:     1, epoch:    2/100, mu: 0.5477750301, learning_rate: 0.0112812500, weight_decay: 0.0004512500

epoch time: 491.6340637207s, input_fired_time: 6.0653600693, output_fired_time: 5.6425771713, propagate_forward_time: 183.3480834961, propagate_backward_time: 288.2511291504, weight_update_time: 0.6334049106, other_time: 8.3269042969
epoch time: 39.0536079407s, input_fired_time: 0.7645887136, output_fired_time: 0.0000000000, propagate_forward_time: 36.8540382385, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.4349822998
validation[          , genome  9003] predictions:    9798/  10000 (97.98%), best:    9798/10000 (97.98%), error:       678.67151, best error:       678.67151 on epoch:     3, epoch:    3/100, mu: 0.5698862672, learning_rate: 0.0107171871, weight_decay: 0.0004286875

epoch time: 490.7304992676s, input_fired_time: 6.0551977158, output_fired_time: 5.6395697594, propagate_forward_time: 182.9004364014, propagate_backward_time: 287.9493713379, weight_update_time: 0.6262696981, other_time: 8.1859436035
epoch time: 39.1481666565s, input_fired_time: 0.7392093539, output_fired_time: 0.0000000000, propagate_forward_time: 37.0368270874, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.3721313477
validation[          , genome  9003] predictions:    9743/  10000 (97.43%), best:    9798/10000 (97.98%), error:       732.36993, best error:       678.67151 on epoch:     3, epoch:    4/100, mu: 0.5908919573, learning_rate: 0.0101813274, weight_decay: 0.0004072531

epoch time: 488.7461547852s, input_fired_time: 5.9472832680, output_fired_time: 5.5506839752, propagate_forward_time: 182.1714782715, propagate_backward_time: 287.1703796387, weight_update_time: 0.6109802127, other_time: 7.9063110352
epoch time: 38.7731475830s, input_fired_time: 0.7385541201, output_fired_time: 0.0000000000, propagate_forward_time: 36.6263847351, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.4082069397
validation[          , genome  9003] predictions:    9822/  10000 (98.22%), best:    9822/10000 (98.22%), error:       596.89618, best error:       596.89618 on epoch:     5, epoch:    5/100, mu: 0.6108473539, learning_rate: 0.0096722608, weight_decay: 0.0003868904

epoch time: 490.9440002441s, input_fired_time: 5.9149665833, output_fired_time: 5.5555438995, propagate_forward_time: 183.2679290771, propagate_backward_time: 288.4381408691, weight_update_time: 0.6067836881, other_time: 7.7674255371
epoch time: 38.8354454041s, input_fired_time: 0.7353203297, output_fired_time: 0.0000000000, propagate_forward_time: 36.7193679810, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.3807563782
validation[          , genome  9003] predictions:    9835/  10000 (98.35%), best:    9835/10000 (98.35%), error:       596.27643, best error:       596.27643 on epoch:     6, epoch:    6/100, mu: 0.6298049688, learning_rate: 0.0091886474, weight_decay: 0.0003675459

arguments:
	'projects/csgrid.org_csg/exact_client_0.34_windows_x86_64.exe'
	'--training_file'
	'training_samples.bin'
	'--validation_file'
	'validation_samples.bin'
	'--testing_file'
	'testing_samples.bin'
	'--genome_file'
	'input_genome.txt'
	'--output_file'
	'output_genome.txt'
	'--checkpoint_file'
	'checkpoint.txt'
converting arguments to vector
boincified training filename: '../../projects/csgrid.org_csg/mnist_training_50k.bin'
boincified validation filename: '../../projects/csgrid.org_csg/mnist_validation_10k.bin'
boincified testing filename: '../../projects/csgrid.org_csg/mnist_testing_new.bin'
boincified genome filename: '../../projects/csgrid.org_csg/exact_genome_1512185335_37_9003.txt'
boincified output filename: '../../projects/csgrid.org_csg/exact_genome_1512185335_37_9003_0_r1917784275_0'
boincified checkpoint filename: 'checkpoint.txt'
loading genome
starting from checkpoint file: 'checkpoint.txt'
read CNN_Genome file with version string: 'v0.33'
read exact_id: -1
read genome_id: -1
read initial_mu: 0.5
read mu: 0.647815
read mu_delta: 0.95
read initial_learning_rate: 0.0125
read learning_rate: 0.00872921
read learning_rate_delta: 0.95
read initial_weight_decay: 0.0005
read weight_decay: 0.000349169
read weight_decay_delta: 0.95
read batch_size: 50
read epsilon: 1e-07
read alpha: 0.1
read input_dropout_probability: 0
read hidden_dropout_probability: 0
read velocity_reset: 1000
read epoch: 7
read max_epochs: 100
read reset_weights: 0
read padding: 2
read best_epoch: 6
read number_validation_images: 10000
read best_validation_predictions: 9835
read best_validation_error: 596.276
read number_training_images: 50000
read training_predictions: 0
read training_error: 1e+07
read number_test_images: 10000
read test_predictions: 0
read test_error: 1e+07
read generation_id: 9003
read normal distribution: '1 0 0'
generator_str: '1843958338'
read generator: 1843958338
read generated_by_map:
1 crossover 1
reading 61 nodes.
reading 196 edges.
number input nodes: 1
number softmax nodes: 10
order_size: 50000
parsed input file
loaded genome
loading images
number_classes: 10
channels: 1
width: 28
height: 28
reading image set with 4923 images.
reading image set with 5742 images.
reading image set with 4958 images.
reading image set with 5131 images.
reading image set with 4842 images.
reading image set with 4421 images.
reading image set with 4918 images.
reading image set with 5265 images.
reading image set with 4851 images.
reading image set with 4949 images.
image_size: 1x28x28 = 784
read 50000 images.
    class    0: 4923
    class    1: 5742
    class    2: 4958
    class    3: 5131
    class    4: 4842
    class    5: 4421
    class    6: 4918
    class    7: 5265
    class    8: 4851
    class    9: 4949
calculating averages and standard deviations for images
average pixel value for channel 0: 0.130530551075935
pixel variance for channel 0: 0.0948646068572998
pixel standard deviation for channel 0: 0.308000981807709
number_classes: 10
channels: 1
width: 28
height: 28
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
image_size: 1x28x28 = 784
read 10000 images.
    class    0: 1000
    class    1: 1000
    class    2: 1000
    class    3: 1000
    class    4: 1000
    class    5: 1000
    class    6: 1000
    class    7: 1000
    class    8: 1000
    class    9: 1000
number_classes: 10
channels: 1
width: 28
height: 28
reading image set with 980 images.
reading image set with 1135 images.
reading image set with 1032 images.
reading image set with 1010 images.
reading image set with 982 images.
reading image set with 892 images.
reading image set with 958 images.
reading image set with 1028 images.
reading image set with 974 images.
reading image set with 1009 images.
image_size: 1x28x28 = 784
read 10000 images.
    class    0: 980
    class    1: 1135
    class    2: 1032
    class    3: 1010
    class    4: 982
    class    5: 892
    class    6: 958
    class    7: 1028
    class    8: 974
    class    9: 1009
loaded images
starting backpropagation!
epoch time: 488.212158203125s, input_fired_time: 5.71196985244751, output_fired_time: 5.43097352981567, propagate_forward_time: 182.679168701172, propagate_backward_time: 287.606750488281, weight_update_time: 0.55172073841095, other_time: 6.78329467773438
epoch time: 38.392162322998s, input_fired_time: 0.694482564926147, output_fired_time: 0, propagate_forward_time: 36.5082168579102, propagate_backward_time: 0, weight_update_time: 0, other_time: 1.1894645690918
validation[          , genome  9003] predictions:    9814/  10000 (98.14%), best:    9835/10000 (98.35%), error:       635.70898, best error:       596.27643 on epoch:     6, epoch:    7/100, mu: 0.6478147507, learning_rate: 0.0087292148, weight_decay: 0.0003491686

epoch time: 488.9248046875s, input_fired_time: 5.7146883011, output_fired_time: 5.4390406609, propagate_forward_time: 182.8651885986, propagate_backward_time: 288.0718688965, weight_update_time: 0.5529108644, other_time: 6.8340148926
epoch time: 38.5566101074s, input_fired_time: 0.6937308908, output_fired_time: 0.0000000000, propagate_forward_time: 36.7071800232, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.1557006836
validation[          , genome  9003] predictions:    9778/  10000 (97.78%), best:    9835/10000 (98.35%), error:       751.67273, best error:       596.27643 on epoch:     6, epoch:    8/100, mu: 0.6649240255, learning_rate: 0.0082927542, weight_decay: 0.0003317102

epoch time: 488.3943481445s, input_fired_time: 5.7160897255, output_fired_time: 5.4410567284, propagate_forward_time: 182.8260192871, propagate_backward_time: 287.5962219238, weight_update_time: 0.5517435074, other_time: 6.8149414063
epoch time: 38.6241874695s, input_fired_time: 0.6947017312, output_fired_time: 0.0000000000, propagate_forward_time: 36.7469596863, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.1825256348
validation[          , genome  9003] predictions:    9807/  10000 (98.07%), best:    9807/10000 (98.07%), error:       596.10358, best error:       596.10358 on epoch:     9, epoch:    9/100, mu: 0.6811778545, learning_rate: 0.0078781163, weight_decay: 0.0003151247

epoch time: 489.5055847168s, input_fired_time: 5.7200055122, output_fired_time: 5.4415016174, propagate_forward_time: 183.4165191650, propagate_backward_time: 288.1650085449, weight_update_time: 0.5529125929, other_time: 6.7625427246
epoch time: 38.6498794556s, input_fired_time: 0.6987838745, output_fired_time: 0.0000000000, propagate_forward_time: 36.7514381409, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.1996574402
validation[          , genome  9003] predictions:    9840/  10000 (98.40%), best:    9840/10000 (98.40%), error:       543.12781, best error:       543.12781 on epoch:    10, epoch:   10/100, mu: 0.6966189742, learning_rate: 0.0074842102, weight_decay: 0.0002993684

epoch time: 489.4248657227s, input_fired_time: 5.7251906395, output_fired_time: 5.4501056671, propagate_forward_time: 183.0195007324, propagate_backward_time: 288.4638671875, weight_update_time: 0.5513943434, other_time: 6.7662048340
epoch time: 38.8355407715s, input_fired_time: 0.7042531371, output_fired_time: 0.0000000000, propagate_forward_time: 36.9133872986, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.2178993225
validation[          , genome  9003] predictions:    9795/  10000 (97.95%), best:    9840/10000 (98.40%), error:       624.13239, best error:       543.12781 on epoch:    10, epoch:   11/100, mu: 0.7112880349, learning_rate: 0.0071099997, weight_decay: 0.0002844000

epoch time: 488.6917419434s, input_fired_time: 5.7256464958, output_fired_time: 5.4338989258, propagate_forward_time: 182.8967285156, propagate_backward_time: 287.8099365234, weight_update_time: 0.5540776253, other_time: 6.8255310059
epoch time: 38.7860069275s, input_fired_time: 0.7007890344, output_fired_time: 0.0000000000, propagate_forward_time: 36.9065971375, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.1786193848
validation[          , genome  9003] predictions:    9836/  10000 (98.36%), best:    9840/10000 (98.40%), error:       547.87189, best error:       543.12781 on epoch:    10, epoch:   12/100, mu: 0.7252236605, learning_rate: 0.0067544994, weight_decay: 0.0002701800

epoch time: 489.1238403320s, input_fired_time: 5.7240719795, output_fired_time: 5.4478378296, propagate_forward_time: 183.2769165039, propagate_backward_time: 287.8398742676, weight_update_time: 0.5545238853, other_time: 6.8351440430
epoch time: 38.7180595398s, input_fired_time: 0.7004203200, output_fired_time: 0.0000000000, propagate_forward_time: 36.8281517029, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.1894874573
validation[          , genome  9003] predictions:    9801/  10000 (98.01%), best:    9840/10000 (98.40%), error:       616.86200, best error:       543.12781 on epoch:    10, epoch:   13/100, mu: 0.7384625077, learning_rate: 0.0064167744, weight_decay: 0.0002566710

epoch time: 488.9859313965s, input_fired_time: 5.7394533157, output_fired_time: 5.4453644753, propagate_forward_time: 182.8804321289, propagate_backward_time: 288.0599975586, weight_update_time: 0.5526852012, other_time: 6.8606872559
epoch time: 38.5908775330s, input_fired_time: 0.6982970238, output_fired_time: 0.0000000000, propagate_forward_time: 36.7020721436, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.1905097961
validation[          , genome  9003] predictions:    9802/  10000 (98.02%), best:    9840/10000 (98.40%), error:       568.54565, best error:       543.12781 on epoch:    10, epoch:   14/100, mu: 0.7510393858, learning_rate: 0.0060959356, weight_decay: 0.0002438374

epoch time: 487.8143615723s, input_fired_time: 5.7403788567, output_fired_time: 5.4452509880, propagate_forward_time: 182.3556518555, propagate_backward_time: 287.3187866211, weight_update_time: 0.5577210784, other_time: 6.9542846680
epoch time: 38.7024154663s, input_fired_time: 0.7067364454, output_fired_time: 0.0000000000, propagate_forward_time: 36.7607307434, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.2349472046
validation[          , genome  9003] predictions:    9803/  10000 (98.03%), best:    9840/10000 (98.40%), error:       628.64423, best error:       543.12781 on epoch:    10, epoch:   15/100, mu: 0.7629874349, learning_rate: 0.0057911389, weight_decay: 0.0002316456

epoch time: 488.5482177734s, input_fired_time: 5.7671575546, output_fired_time: 5.4665131569, propagate_forward_time: 182.6403808594, propagate_backward_time: 287.5973815918, weight_update_time: 0.5619057417, other_time: 7.0767822266
epoch time: 38.7674713135s, input_fired_time: 0.7095364332, output_fired_time: 0.0000000000, propagate_forward_time: 36.8376312256, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.2203025818
validation[          , genome  9003] predictions:    9792/  10000 (97.92%), best:    9840/10000 (98.40%), error:       662.79730, best error:       543.12781 on epoch:    10, epoch:   16/100, mu: 0.7743380666, learning_rate: 0.0055015818, weight_decay: 0.0002200633

arguments:
	'projects/csgrid.org_csg/exact_client_0.34_windows_x86_64.exe'
	'--training_file'
	'training_samples.bin'
	'--validation_file'
	'validation_samples.bin'
	'--testing_file'
	'testing_samples.bin'
	'--genome_file'
	'input_genome.txt'
	'--output_file'
	'output_genome.txt'
	'--checkpoint_file'
	'checkpoint.txt'
converting arguments to vector
boincified training filename: '../../projects/csgrid.org_csg/mnist_training_50k.bin'
boincified validation filename: '../../projects/csgrid.org_csg/mnist_validation_10k.bin'
boincified testing filename: '../../projects/csgrid.org_csg/mnist_testing_new.bin'
boincified genome filename: '../../projects/csgrid.org_csg/exact_genome_1512185335_37_9003.txt'
boincified output filename: '../../projects/csgrid.org_csg/exact_genome_1512185335_37_9003_0_r1917784275_0'
boincified checkpoint filename: 'checkpoint.txt'
loading genome
starting from checkpoint file: 'checkpoint.txt'
read CNN_Genome file with version string: 'v0.33'
read exact_id: -1
read genome_id: -1
read initial_mu: 0.5
read mu: 0.785121
read mu_delta: 0.95
read initial_learning_rate: 0.0125
read learning_rate: 0.0052265
read learning_rate_delta: 0.95
read initial_weight_decay: 0.0005
read weight_decay: 0.00020906
read weight_decay_delta: 0.95
read batch_size: 50
read epsilon: 1e-07
read alpha: 0.1
read input_dropout_probability: 0
read hidden_dropout_probability: 0
read velocity_reset: 1000
read epoch: 17
read max_epochs: 100
read reset_weights: 0
read padding: 2
read best_epoch: 10
read number_validation_images: 10000
read best_validation_predictions: 9840
read best_validation_error: 543.128
read number_training_images: 50000
read training_predictions: 0
read training_error: 1e+07
read number_test_images: 10000
read test_predictions: 0
read test_error: 1e+07
read generation_id: 9003
read normal distribution: '1 0 0'
generator_str: '7153589'
read generator: 7153589
read generated_by_map:
1 crossover 1
reading 61 nodes.
reading 196 edges.
number input nodes: 1
number softmax nodes: 10
order_size: 50000
parsed input file
loaded genome
loading images
number_classes: 10
channels: 1
width: 28
height: 28
reading image set with 4923 images.
reading image set with 5742 images.
reading image set with 4958 images.
reading image set with 5131 images.
reading image set with 4842 images.
reading image set with 4421 images.
reading image set with 4918 images.
reading image set with 5265 images.
reading image set with 4851 images.
reading image set with 4949 images.
image_size: 1x28x28 = 784
read 50000 images.
    class    0: 4923
    class    1: 5742
    class    2: 4958
    class    3: 5131
    class    4: 4842
    class    5: 4421
    class    6: 4918
    class    7: 5265
    class    8: 4851
    class    9: 4949
calculating averages and standard deviations for images
average pixel value for channel 0: 0.130530551075935
pixel variance for channel 0: 0.0948646068572998
pixel standard deviation for channel 0: 0.308000981807709
number_classes: 10
channels: 1
width: 28
height: 28
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
image_size: 1x28x28 = 784
read 10000 images.
    class    0: 1000
    class    1: 1000
    class    2: 1000
    class    3: 1000
    class    4: 1000
    class    5: 1000
    class    6: 1000
    class    7: 1000
    class    8: 1000
    class    9: 1000
number_classes: 10
channels: 1
width: 28
height: 28
reading image set with 980 images.
reading image set with 1135 images.
reading image set with 1032 images.
reading image set with 1010 images.
reading image set with 982 images.
reading image set with 892 images.
reading image set with 958 images.
reading image set with 1028 images.
reading image set with 974 images.
reading image set with 1009 images.
image_size: 1x28x28 = 784
read 10000 images.
    class    0: 980
    class    1: 1135
    class    2: 1032
    class    3: 1010
    class    4: 982
    class    5: 892
    class    6: 958
    class    7: 1028
    class    8: 974
    class    9: 1009
loaded images
starting backpropagation!
epoch time: 489.867156982422s, input_fired_time: 5.78432989120483, output_fired_time: 5.47278833389282, propagate_forward_time: 183.101318359375, propagate_backward_time: 288.401641845703, weight_update_time: 0.564484596252441, other_time: 7.10708618164063
epoch time: 38.4252815246582s, input_fired_time: 0.709648072719574, output_fired_time: 0, propagate_forward_time: 36.4783668518066, propagate_backward_time: 0, weight_update_time: 0, other_time: 1.23726654052734
validation[          , genome  9003] predictions:    9818/  10000 (98.18%), best:    9840/10000 (98.40%), error:       560.16058, best error:       543.12781 on epoch:    10, epoch:   17/100, mu: 0.7851211429, learning_rate: 0.0052265027, weight_decay: 0.0002090601

epoch time: 490.3969421387s, input_fired_time: 5.7810654640, output_fired_time: 5.4884495735, propagate_forward_time: 183.5852813721, propagate_backward_time: 288.5733032227, weight_update_time: 0.5654215813, other_time: 6.9688110352
epoch time: 38.4396591187s, input_fired_time: 0.7079175115, output_fired_time: 0.0000000000, propagate_forward_time: 36.4980278015, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.2337150574
validation[          , genome  9003] predictions:    9766/  10000 (97.66%), best:    9840/10000 (98.40%), error:       734.41345, best error:       543.12781 on epoch:    10, epoch:   18/100, mu: 0.7953650951, learning_rate: 0.0049651773, weight_decay: 0.0001986071

epoch time: 491.5616149902s, input_fired_time: 5.7959122658, output_fired_time: 5.5099973679, propagate_forward_time: 184.0869750977, propagate_backward_time: 289.1748352051, weight_update_time: 0.5633335114, other_time: 6.9938964844
epoch time: 38.9072227478s, input_fired_time: 0.7198654413, output_fired_time: 0.0000000000, propagate_forward_time: 36.9302749634, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.2570838928
validation[          , genome  9003] predictions:    9824/  10000 (98.24%), best:    9840/10000 (98.40%), error:       554.07843, best error:       543.12781 on epoch:    10, epoch:   19/100, mu: 0.8050968647, learning_rate: 0.0047169183, weight_decay: 0.0001886768

epoch time: 487.7711486816s, input_fired_time: 5.7729825974, output_fired_time: 5.4512419701, propagate_forward_time: 182.5117492676, propagate_backward_time: 287.0272216797, weight_update_time: 0.5625735521, other_time: 7.0079650879
epoch time: 38.4203453064s, input_fired_time: 0.7068362236, output_fired_time: 0.0000000000, propagate_forward_time: 36.5113029480, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.2022056580
validation[          , genome  9003] predictions:    9819/  10000 (98.19%), best:    9840/10000 (98.40%), error:       556.22272, best error:       543.12781 on epoch:    10, epoch:   20/100, mu: 0.8143420219, learning_rate: 0.0044810725, weight_decay: 0.0001792429

epoch time: 489.4392395020s, input_fired_time: 5.7689828873, output_fired_time: 5.4533095360, propagate_forward_time: 182.9749298096, propagate_backward_time: 288.2669982910, weight_update_time: 0.5606002212, other_time: 6.9750061035
epoch time: 38.9324836731s, input_fired_time: 0.7086905837, output_fired_time: 0.0000000000, propagate_forward_time: 37.0185089111, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.2052841187
validation[          , genome  9003] predictions:    9819/  10000 (98.19%), best:    9840/10000 (98.40%), error:       577.02625, best error:       543.12781 on epoch:    10, epoch:   21/100, mu: 0.8231249452, learning_rate: 0.0042570187, weight_decay: 0.0001702808

epoch time: 487.9508361816s, input_fired_time: 5.7558140755, output_fired_time: 5.4456357956, propagate_forward_time: 182.5850830078, propagate_backward_time: 287.3288269043, weight_update_time: 0.5573800802, other_time: 6.8354492188
epoch time: 37.7455215454s, input_fired_time: 0.7004156709, output_fired_time: 0.0000000000, propagate_forward_time: 35.8089599609, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.2361450195
validation[          , genome  9003] predictions:    9850/  10000 (98.50%), best:    9850/10000 (98.50%), error:       493.13510, best error:       493.13510 on epoch:    22, epoch:   22/100, mu: 0.8314687014, learning_rate: 0.0040441677, weight_decay: 0.0001617667

epoch time: 489.7333374023s, input_fired_time: 5.7582616806, output_fired_time: 5.4520878792, propagate_forward_time: 183.3867492676, propagate_backward_time: 288.3200683594, weight_update_time: 0.5574707985, other_time: 6.8161621094
epoch time: 38.5015830994s, input_fired_time: 0.7031077147, output_fired_time: 0.0000000000, propagate_forward_time: 36.5968055725, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.2016716003
validation[          , genome  9003] predictions:    9838/  10000 (98.38%), best:    9850/10000 (98.50%), error:       530.52057, best error:       493.13510 on epoch:    22, epoch:   23/100, mu: 0.8393952847, learning_rate: 0.0038419592, weight_decay: 0.0001536784

epoch time: 489.6521301270s, input_fired_time: 5.7616190910, output_fired_time: 5.4511222839, propagate_forward_time: 183.4888153076, propagate_backward_time: 288.1406555176, weight_update_time: 0.5567088723, other_time: 6.8099060059
epoch time: 38.8208618164s, input_fired_time: 0.7127267122, output_fired_time: 0.0000000000, propagate_forward_time: 36.8839950562, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.2241401672
validation[          , genome  9003] predictions:    9855/  10000 (98.55%), best:    9850/10000 (98.50%), error:       542.43085, best error:       493.13510 on epoch:    22, epoch:   24/100, mu: 0.8469254971, learning_rate: 0.0036498611, weight_decay: 0.0001459945

epoch time: 489.7312316895s, input_fired_time: 5.7660942078, output_fired_time: 5.4576597214, propagate_forward_time: 183.6141357422, propagate_backward_time: 288.0838317871, weight_update_time: 0.5568696856, other_time: 6.8095092773
epoch time: 38.3143463135s, input_fired_time: 0.7008233666, output_fired_time: 0.0000000000, propagate_forward_time: 36.4108924866, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.2026290894
validation[          , genome  9003] predictions:    9841/  10000 (98.41%), best:    9850/10000 (98.50%), error:       529.75073, best error:       493.13510 on epoch:    22, epoch:   25/100, mu: 0.8540792465, learning_rate: 0.0034673680, weight_decay: 0.0001386948

epoch time: 487.8442993164s, input_fired_time: 5.7464542389, output_fired_time: 5.4313726425, propagate_forward_time: 182.7415466309, propagate_backward_time: 287.1758422852, weight_update_time: 0.5536670685, other_time: 6.7490844727
epoch time: 38.3358345032s, input_fired_time: 0.7008896470, output_fired_time: 0.0000000000, propagate_forward_time: 36.4429473877, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.1919975281
validation[          , genome  9003] predictions:    9847/  10000 (98.47%), best:    9847/10000 (98.47%), error:       489.42151, best error:       489.42151 on epoch:    26, epoch:   26/100, mu: 0.8608753085, learning_rate: 0.0032939995, weight_decay: 0.0001317600

epoch time: 488.9220275879s, input_fired_time: 5.7545838356, output_fired_time: 5.4381566048, propagate_forward_time: 183.2973937988, propagate_backward_time: 287.6534423828, weight_update_time: 0.5550515056, other_time: 6.7784423828
epoch time: 38.7855758667s, input_fired_time: 0.7039279938, output_fired_time: 0.0000000000, propagate_forward_time: 36.8943290710, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.1873207092
validation[          , genome  9003] predictions:    9848/  10000 (98.48%), best:    9847/10000 (98.47%), error:       494.26282, best error:       489.42151 on epoch:    26, epoch:   27/100, mu: 0.8673315644, learning_rate: 0.0031292995, weight_decay: 0.0001251720

epoch time: 487.2713928223s, input_fired_time: 5.7487597466, output_fired_time: 5.4329004288, propagate_forward_time: 182.3851165771, propagate_backward_time: 286.9080810547, weight_update_time: 0.5546938777, other_time: 6.7965698242
epoch time: 38.4866333008s, input_fired_time: 0.7081806660, output_fired_time: 0.0000000000, propagate_forward_time: 36.5707092285, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.2077445984
validation[          , genome  9003] predictions:    9834/  10000 (98.34%), best:    9847/10000 (98.47%), error:       520.98877, best error:       489.42151 on epoch:    26, epoch:   28/100, mu: 0.8734650016, learning_rate: 0.0029728345, weight_decay: 0.0001189134

epoch time: 488.3538818359s, input_fired_time: 5.7672982216, output_fired_time: 5.4373230934, propagate_forward_time: 182.7941894531, propagate_backward_time: 287.5356750488, weight_update_time: 0.5562959313, other_time: 6.8193969727
epoch time: 38.5990791321s, input_fired_time: 0.7070065737, output_fired_time: 0.0000000000, propagate_forward_time: 36.6460685730, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.2460021973
validation[          , genome  9003] predictions:    9864/  10000 (98.64%), best:    9864/10000 (98.64%), error:       455.17932, best error:       455.17932 on epoch:    29, epoch:   29/100, mu: 0.8792917728, learning_rate: 0.0028241926, weight_decay: 0.0001129677

epoch time: 488.4523315430s, input_fired_time: 5.7584118843, output_fired_time: 5.4460110664, propagate_forward_time: 182.7951049805, propagate_backward_time: 287.5835876465, weight_update_time: 0.5590761900, other_time: 6.8692016602
epoch time: 38.5786476135s, input_fired_time: 0.7192925811, output_fired_time: 0.0000000000, propagate_forward_time: 36.5504875183, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.3088684082
validation[          , genome  9003] predictions:    9836/  10000 (98.36%), best:    9864/10000 (98.64%), error:       554.00769, best error:       455.17932 on epoch:    29, epoch:   30/100, mu: 0.8848271966, learning_rate: 0.0026829829, weight_decay: 0.0001073193

epoch time: 487.2553405762s, input_fired_time: 5.7719755173, output_fired_time: 5.4434170723, propagate_forward_time: 182.2494049072, propagate_backward_time: 286.9021911621, weight_update_time: 0.5571246147, other_time: 6.8883361816
epoch time: 38.3095703125s, input_fired_time: 0.7109366655, output_fired_time: 0.0000000000, propagate_forward_time: 36.3615112305, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.2371215820
validation[          , genome  9003] predictions:    9857/  10000 (98.57%), best:    9864/10000 (98.64%), error:       474.01138, best error:       455.17932 on epoch:    29, epoch:   31/100, mu: 0.8900858164, learning_rate: 0.0025488338, weight_decay: 0.0001019534

epoch time: 487.7098693848s, input_fired_time: 5.7884016037, output_fired_time: 5.4581818581, propagate_forward_time: 182.2315063477, propagate_backward_time: 287.2443847656, weight_update_time: 0.5619907975, other_time: 6.9873962402
epoch time: 38.6847381592s, input_fired_time: 0.7094314098, output_fired_time: 0.0000000000, propagate_forward_time: 36.7666511536, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.2086563110
validation[          , genome  9003] predictions:    9838/  10000 (98.38%), best:    9864/10000 (98.64%), error:       562.19208, best error:       455.17932 on epoch:    29, epoch:   32/100, mu: 0.8950815201, learning_rate: 0.0024213921, weight_decay: 0.0000968557

epoch time: 488.5041809082s, input_fired_time: 5.8010430336, output_fired_time: 5.4677467346, propagate_forward_time: 182.8700256348, propagate_backward_time: 287.3567504883, weight_update_time: 0.5642333627, other_time: 7.0086059570
epoch time: 38.0974617004s, input_fired_time: 0.7066384554, output_fired_time: 0.0000000000, propagate_forward_time: 36.1486167908, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.2422065735
validation[          , genome  9003] predictions:    9853/  10000 (98.53%), best:    9864/10000 (98.64%), error:       482.33911, best error:       455.17932 on epoch:    29, epoch:   33/100, mu: 0.8998274207, learning_rate: 0.0023003225, weight_decay: 0.0000920129

epoch time: 490.8337707520s, input_fired_time: 5.8162493706, output_fired_time: 5.4786572456, propagate_forward_time: 183.7362365723, propagate_backward_time: 288.7520141602, weight_update_time: 0.5709089041, other_time: 7.0505981445
epoch time: 38.7403106689s, input_fired_time: 0.7161985040, output_fired_time: 0.0000000000, propagate_forward_time: 36.8012504578, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.2228622437
validation[          , genome  9003] predictions:    9857/  10000 (98.57%), best:    9857/10000 (98.57%), error:       448.13617, best error:       448.13617 on epoch:    34, epoch:   34/100, mu: 0.9043360353, learning_rate: 0.0021853063, weight_decay: 0.0000874123

epoch time: 489.2416992188s, input_fired_time: 5.8042736053, output_fired_time: 5.4765181541, propagate_forward_time: 183.1317291260, propagate_backward_time: 287.8018798828, weight_update_time: 0.5645241141, other_time: 7.0272827148
epoch time: 38.6323585510s, input_fired_time: 0.7158083320, output_fired_time: 0.0000000000, propagate_forward_time: 36.6865997314, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.2299499512
validation[          , genome  9003] predictions:    9782/  10000 (97.82%), best:    9857/10000 (98.57%), error:       647.83820, best error:       448.13617 on epoch:    34, epoch:   35/100, mu: 0.9086192250, learning_rate: 0.0020760410, weight_decay: 0.0000830417

epoch time: 488.8776245117s, input_fired_time: 5.8090929985, output_fired_time: 5.4846773148, propagate_forward_time: 182.9878692627, propagate_backward_time: 287.6098937988, weight_update_time: 0.5612830520, other_time: 6.9861145020
epoch time: 38.1236305237s, input_fired_time: 0.7208562493, output_fired_time: 0.0000000000, propagate_forward_time: 36.1195564270, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.2832183838
validation[          , genome  9003] predictions:    9865/  10000 (98.65%), best:    9865/10000 (98.65%), error:       444.09531, best error:       444.09531 on epoch:    36, epoch:   36/100, mu: 0.9126882553, learning_rate: 0.0019722388, weight_decay: 0.0000788896

epoch time: 490.4664916992s, input_fired_time: 5.8279771805, output_fired_time: 5.4979119301, propagate_forward_time: 183.5857238770, propagate_backward_time: 288.4974365234, weight_update_time: 0.5674600601, other_time: 7.0574340820
epoch time: 38.6183013916s, input_fired_time: 0.7098479867, output_fired_time: 0.0000000000, propagate_forward_time: 36.7238616943, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.1845932007
validation[          , genome  9003] predictions:    9853/  10000 (98.53%), best:    9865/10000 (98.65%), error:       481.19119, best error:       444.09531 on epoch:    36, epoch:   37/100, mu: 0.9165538549, learning_rate: 0.0018736268, weight_decay: 0.0000749451

epoch time: 490.3024291992s, input_fired_time: 5.8274402618, output_fired_time: 5.4789409637, propagate_forward_time: 183.6201782227, propagate_backward_time: 288.3773803711, weight_update_time: 0.5612416267, other_time: 6.9984741211
epoch time: 38.7939758301s, input_fired_time: 0.7175713778, output_fired_time: 0.0000000000, propagate_forward_time: 36.8093528748, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.2670516968
validation[          , genome  9003] predictions:    9840/  10000 (98.40%), best:    9865/10000 (98.65%), error:       485.68109, best error:       444.09531 on epoch:    36, epoch:   38/100, mu: 0.9202261567, learning_rate: 0.0017799455, weight_decay: 0.0000711978

epoch time: 488.1471252441s, input_fired_time: 5.8322010040, output_fired_time: 5.4712758064, propagate_forward_time: 182.7123413086, propagate_backward_time: 287.0604858398, weight_update_time: 0.5667830110, other_time: 7.0708007813
epoch time: 38.2267837524s, input_fired_time: 0.7108564377, output_fired_time: 0.0000000000, propagate_forward_time: 36.2718276978, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.2440986633
validation[          , genome  9003] predictions:    9778/  10000 (97.78%), best:    9865/10000 (98.65%), error:       720.10107, best error:       444.09531 on epoch:    36, epoch:   39/100, mu: 0.9237148762, learning_rate: 0.0016909481, weight_decay: 0.0000676379

epoch time: 489.7531738281s, input_fired_time: 5.7923927307, output_fired_time: 5.4709796906, propagate_forward_time: 183.3100128174, propagate_backward_time: 288.3165283203, weight_update_time: 0.5593053699, other_time: 6.8632812500
epoch time: 38.0262107849s, input_fired_time: 0.7031688094, output_fired_time: 0.0000000000, propagate_forward_time: 36.1037025452, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.2193412781
validation[          , genome  9003] predictions:    9842/  10000 (98.42%), best:    9865/10000 (98.65%), error:       515.77576, best error:       444.09531 on epoch:    36, epoch:   40/100, mu: 0.9270291328, learning_rate: 0.0016064007, weight_decay: 0.0000642560

epoch time: 488.7697448730s, input_fired_time: 5.7803101540, output_fired_time: 5.4369130135, propagate_forward_time: 183.0287017822, propagate_backward_time: 287.7709960938, weight_update_time: 0.5532734394, other_time: 6.7528076172
epoch time: 38.3819274902s, input_fired_time: 0.7114821672, output_fired_time: 0.0000000000, propagate_forward_time: 36.4469032288, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.2235412598
validation[          , genome  9003] predictions:    9854/  10000 (98.54%), best:    9865/10000 (98.65%), error:       465.05038, best error:       444.09531 on epoch:    36, epoch:   41/100, mu: 0.9301776886, learning_rate: 0.0015260807, weight_decay: 0.0000610432

epoch time: 488.3718872070s, input_fired_time: 5.7648077011, output_fired_time: 5.4332485199, propagate_forward_time: 182.9375305176, propagate_backward_time: 287.4700317383, weight_update_time: 0.5522105098, other_time: 6.7662658691
epoch time: 38.4154624939s, input_fired_time: 0.7047488093, output_fired_time: 0.0000000000, propagate_forward_time: 36.5330734253, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.1776390076
validation[          , genome  9003] predictions:    9840/  10000 (98.40%), best:    9865/10000 (98.65%), error:       534.30554, best error:       444.09531 on epoch:    36, epoch:   42/100, mu: 0.9331688285, learning_rate: 0.0014497766, weight_decay: 0.0000579911

epoch time: 489.7044372559s, input_fired_time: 5.7640457153, output_fired_time: 5.4473519325, propagate_forward_time: 183.6243743896, propagate_backward_time: 288.1723632813, weight_update_time: 0.5520840287, other_time: 6.6962890625
epoch time: 38.5518074036s, input_fired_time: 0.7068059444, output_fired_time: 0.0000000000, propagate_forward_time: 36.6947021484, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.1502990723
validation[          , genome  9003] predictions:    9841/  10000 (98.41%), best:    9865/10000 (98.65%), error:       516.55798, best error:       444.09531 on epoch:    36, epoch:   43/100, mu: 0.9360103607, learning_rate: 0.0013772878, weight_decay: 0.0000550915

epoch time: 489.2593383789s, input_fired_time: 5.7641563416, output_fired_time: 5.4385900497, propagate_forward_time: 183.3701477051, propagate_backward_time: 288.0587158203, weight_update_time: 0.5509813428, other_time: 6.6277160645
epoch time: 38.6307945251s, input_fired_time: 0.7042844296, output_fired_time: 0.0000000000, propagate_forward_time: 36.7801208496, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.1463890076
validation[          , genome  9003] predictions:    9872/  10000 (98.72%), best:    9872/10000 (98.72%), error:       416.47778, best error:       416.47778 on epoch:    44, epoch:   44/100, mu: 0.9387098551, learning_rate: 0.0013084234, weight_decay: 0.0000523369

epoch time: 488.7090759277s, input_fired_time: 5.7536101341, output_fired_time: 5.4389324188, propagate_forward_time: 183.1382446289, propagate_backward_time: 287.7287292480, weight_update_time: 0.5498444438, other_time: 6.6495666504
epoch time: 38.6504631042s, input_fired_time: 0.7140956521, output_fired_time: 0.0000000000, propagate_forward_time: 36.7445030212, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.1918640137
validation[          , genome  9003] predictions:    9840/  10000 (98.40%), best:    9872/10000 (98.72%), error:       521.24817, best error:       416.47778 on epoch:    44, epoch:   45/100, mu: 0.9412743449, learning_rate: 0.0012430021, weight_decay: 0.0000497201


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