CPU info:
    CPU Model Name: Intel(R) Xeon(R) CPU E5-2630 v2 @ 2.60GHz
    Hardware threads: 24
    Total Memory: 268381192 kB
-------------------------------------------------------------------
=== Running /cygdrive/c/jenkins/workspace/CNTK-Test-Windows-W1/x64/release/cntk.exe configFile=C:\jenkins\workspace\CNTK-Test-Windows-W1\Tests\EndToEndTests\Speech\QuickE2E/cntk.cntk currentDirectory=C:\jenkins\workspace\CNTK-Test-Windows-W1\Tests\EndToEndTests\Speech\Data RunDir=C:\Users\svcphil\AppData\Local\Temp\cntk-test-20161215082728.104126\Speech_QuickE2E@release_gpu DataDir=C:\jenkins\workspace\CNTK-Test-Windows-W1\Tests\EndToEndTests\Speech\Data ConfigDir=C:\jenkins\workspace\CNTK-Test-Windows-W1\Tests\EndToEndTests\Speech\QuickE2E OutputDir=C:\Users\svcphil\AppData\Local\Temp\cntk-test-20161215082728.104126\Speech_QuickE2E@release_gpu DeviceId=0 timestamping=true
CNTK 2.0.beta6.0+ (HEAD 5f1fab, Dec 15 2016 06:29:34) on dphaim-26-new at 2016/12/15 08:33:14

C:\jenkins\workspace\CNTK-Test-Windows-W1\x64\release\cntk.exe  configFile=C:\jenkins\workspace\CNTK-Test-Windows-W1\Tests\EndToEndTests\Speech\QuickE2E/cntk.cntk  currentDirectory=C:\jenkins\workspace\CNTK-Test-Windows-W1\Tests\EndToEndTests\Speech\Data  RunDir=C:\Users\svcphil\AppData\Local\Temp\cntk-test-20161215082728.104126\Speech_QuickE2E@release_gpu  DataDir=C:\jenkins\workspace\CNTK-Test-Windows-W1\Tests\EndToEndTests\Speech\Data  ConfigDir=C:\jenkins\workspace\CNTK-Test-Windows-W1\Tests\EndToEndTests\Speech\QuickE2E  OutputDir=C:\Users\svcphil\AppData\Local\Temp\cntk-test-20161215082728.104126\Speech_QuickE2E@release_gpu  DeviceId=0  timestamping=true
Changed current directory to C:\jenkins\workspace\CNTK-Test-Windows-W1\Tests\EndToEndTests\Speech\Data

12/15/2016 08:33:17: ##############################################################################
12/15/2016 08:33:17: #                                                                            #
12/15/2016 08:33:17: # speechTrain command (train action)                                         #
12/15/2016 08:33:17: #                                                                            #
12/15/2016 08:33:17: ##############################################################################

parallelTrain option is not enabled. ParallelTrain config will be ignored.
12/15/2016 08:33:17: 
Creating virgin network.
SimpleNetworkBuilder Using GPU 0
reading script file glob_0000.scp ... 948 entries
total 132 state names in state list C:\jenkins\workspace\CNTK-Test-Windows-W1\Tests\EndToEndTests\Speech\Data/state.list
htkmlfreader: reading MLF file C:\jenkins\workspace\CNTK-Test-Windows-W1\Tests\EndToEndTests\Speech\Data/glob_0000.mlf ... total 948 entries
...............................................................................................feature set 0: 252734 frames in 948 out of 948 utterances
label set 0: 129 classes
minibatchutterancesource: 948 utterances grouped into 3 chunks, av. chunk size: 316.0 utterances, 84244.7 frames
12/15/2016 08:33:18: 
Model has 25 nodes. Using GPU 0.

12/15/2016 08:33:18: Training criterion:   CrossEntropyWithSoftmax = CrossEntropyWithSoftmax
12/15/2016 08:33:18: Evaluation criterion: EvalClassificationError = ClassificationError


Allocating matrices for forward and/or backward propagation.

Memory Sharing: Out of 40 matrices, 19 are shared as 8, and 21 are not shared.

	{ HLast : [132 x 1 x *]
	  W2 : [132 x 512] (gradient) }
	{ B0 : [512 x 1] (gradient)
	  H1 : [512 x 1 x *] (gradient)
	  W1*H1+B1 : [512 x 1 x *] (gradient)
	  W2*H1 : [132 x 1 x *] }
	{ H1 : [512 x 1 x *]
	  W0*features : [512 x *] (gradient) }
	{ W0 : [512 x 363] (gradient)
	  W0*features+B0 : [512 x 1 x *] }
	{ W0*features+B0 : [512 x 1 x *] (gradient)
	  W1*H1 : [512 x 1 x *] }
	{ W1 : [512 x 512] (gradient)
	  W1*H1+B1 : [512 x 1 x *] }
	{ H2 : [512 x 1 x *]
	  W1*H1 : [512 x 1 x *] (gradient) }
	{ B1 : [512 x 1] (gradient)
	  H2 : [512 x 1 x *] (gradient)
	  HLast : [132 x 1 x *] (gradient) }


12/15/2016 08:33:18: Training 516740 parameters in 6 out of 6 parameter tensors and 15 nodes with gradient:

12/15/2016 08:33:18: 	Node 'B0' (LearnableParameter operation) : [512 x 1]
12/15/2016 08:33:18: 	Node 'B1' (LearnableParameter operation) : [512 x 1]
12/15/2016 08:33:18: 	Node 'B2' (LearnableParameter operation) : [132 x 1]
12/15/2016 08:33:18: 	Node 'W0' (LearnableParameter operation) : [512 x 363]
12/15/2016 08:33:18: 	Node 'W1' (LearnableParameter operation) : [512 x 512]
12/15/2016 08:33:18: 	Node 'W2' (LearnableParameter operation) : [132 x 512]


12/15/2016 08:33:18: Precomputing --> 3 PreCompute nodes found.

12/15/2016 08:33:18: 	MeanOfFeatures = Mean()
12/15/2016 08:33:18: 	InvStdOfFeatures = InvStdDev()
12/15/2016 08:33:18: 	Prior = Mean()
minibatchiterator: epoch 0: frames [0..252734] (first utterance at frame 0), data subset 0 of 1, with 1 datapasses
requiredata: determined feature kind as 33-dimensional 'USER' with frame shift 10.0 ms

12/15/2016 08:33:21: Precomputing --> Completed.


12/15/2016 08:33:21: Starting Epoch 1: learning rate per sample = 0.015625  effective momentum = 0.900000  momentum as time constant = 607.4 samples
minibatchiterator: epoch 0: frames [0..20480] (first utterance at frame 0), data subset 0 of 1, with 1 datapasses

12/15/2016 08:33:21: Starting minibatch loop.
12/15/2016 08:33:21:  Epoch[ 1 of 3]-Minibatch[   1-  10, 3.13%]: CrossEntropyWithSoftmax = 4.53638611 * 640; EvalClassificationError = 0.92031250 * 640; time = 0.0220s; samplesPerSecond = 29081.7
12/15/2016 08:33:21:  Epoch[ 1 of 3]-Minibatch[  11-  20, 6.25%]: CrossEntropyWithSoftmax = 4.32517776 * 640; EvalClassificationError = 0.92500000 * 640; time = 0.0174s; samplesPerSecond = 36730.9
12/15/2016 08:33:21:  Epoch[ 1 of 3]-Minibatch[  21-  30, 9.38%]: CrossEntropyWithSoftmax = 3.98246384 * 640; EvalClassificationError = 0.87187500 * 640; time = 0.0174s; samplesPerSecond = 36741.5
12/15/2016 08:33:21:  Epoch[ 1 of 3]-Minibatch[  31-  40, 12.50%]: CrossEntropyWithSoftmax = 3.73673553 * 640; EvalClassificationError = 0.84531250 * 640; time = 0.0173s; samplesPerSecond = 37015.6
12/15/2016 08:33:21:  Epoch[ 1 of 3]-Minibatch[  41-  50, 15.63%]: CrossEntropyWithSoftmax = 3.84021912 * 640; EvalClassificationError = 0.86406250 * 640; time = 0.0173s; samplesPerSecond = 36908.9
12/15/2016 08:33:21:  Epoch[ 1 of 3]-Minibatch[  51-  60, 18.75%]: CrossEntropyWithSoftmax = 3.69831390 * 640; EvalClassificationError = 0.86250000 * 640; time = 0.0172s; samplesPerSecond = 37138.0
12/15/2016 08:33:21:  Epoch[ 1 of 3]-Minibatch[  61-  70, 21.88%]: CrossEntropyWithSoftmax = 3.39593506 * 640; EvalClassificationError = 0.77031250 * 640; time = 0.0174s; samplesPerSecond = 36860.0
12/15/2016 08:33:21:  Epoch[ 1 of 3]-Minibatch[  71-  80, 25.00%]: CrossEntropyWithSoftmax = 3.49749756 * 640; EvalClassificationError = 0.82968750 * 640; time = 0.0174s; samplesPerSecond = 36883.4
12/15/2016 08:33:21:  Epoch[ 1 of 3]-Minibatch[  81-  90, 28.13%]: CrossEntropyWithSoftmax = 3.47295837 * 640; EvalClassificationError = 0.81093750 * 640; time = 0.0174s; samplesPerSecond = 36830.3
12/15/2016 08:33:21:  Epoch[ 1 of 3]-Minibatch[  91- 100, 31.25%]: CrossEntropyWithSoftmax = 3.36483765 * 640; EvalClassificationError = 0.79843750 * 640; time = 0.0173s; samplesPerSecond = 36915.3
12/15/2016 08:33:21:  Epoch[ 1 of 3]-Minibatch[ 101- 110, 34.38%]: CrossEntropyWithSoftmax = 3.46790466 * 640; EvalClassificationError = 0.81718750 * 640; time = 0.0173s; samplesPerSecond = 36979.3
12/15/2016 08:33:21:  Epoch[ 1 of 3]-Minibatch[ 111- 120, 37.50%]: CrossEntropyWithSoftmax = 3.22105103 * 640; EvalClassificationError = 0.75625000 * 640; time = 0.0174s; samplesPerSecond = 36840.9
12/15/2016 08:33:21:  Epoch[ 1 of 3]-Minibatch[ 121- 130, 40.63%]: CrossEntropyWithSoftmax = 3.12504578 * 640; EvalClassificationError = 0.75312500 * 640; time = 0.0173s; samplesPerSecond = 37099.3
12/15/2016 08:33:21:  Epoch[ 1 of 3]-Minibatch[ 131- 140, 43.75%]: CrossEntropyWithSoftmax = 2.99507751 * 640; EvalClassificationError = 0.71875000 * 640; time = 0.0173s; samplesPerSecond = 37047.8
12/15/2016 08:33:21:  Epoch[ 1 of 3]-Minibatch[ 141- 150, 46.88%]: CrossEntropyWithSoftmax = 2.89601746 * 640; EvalClassificationError = 0.70000000 * 640; time = 0.0173s; samplesPerSecond = 36998.5
12/15/2016 08:33:21:  Epoch[ 1 of 3]-Minibatch[ 151- 160, 50.00%]: CrossEntropyWithSoftmax = 3.04739380 * 640; EvalClassificationError = 0.74218750 * 640; time = 0.0174s; samplesPerSecond = 36836.7
12/15/2016 08:33:21:  Epoch[ 1 of 3]-Minibatch[ 161- 170, 53.13%]: CrossEntropyWithSoftmax = 2.75064697 * 640; EvalClassificationError = 0.69375000 * 640; time = 0.0174s; samplesPerSecond = 36764.7
12/15/2016 08:33:21:  Epoch[ 1 of 3]-Minibatch[ 171- 180, 56.25%]: CrossEntropyWithSoftmax = 2.65537720 * 640; EvalClassificationError = 0.63750000 * 640; time = 0.0172s; samplesPerSecond = 37114.4
12/15/2016 08:33:21:  Epoch[ 1 of 3]-Minibatch[ 181- 190, 59.38%]: CrossEntropyWithSoftmax = 2.74816284 * 640; EvalClassificationError = 0.69062500 * 640; time = 0.0173s; samplesPerSecond = 37071.4
12/15/2016 08:33:21:  Epoch[ 1 of 3]-Minibatch[ 191- 200, 62.50%]: CrossEntropyWithSoftmax = 2.68736572 * 640; EvalClassificationError = 0.68593750 * 640; time = 0.0173s; samplesPerSecond = 36947.2
12/15/2016 08:33:21:  Epoch[ 1 of 3]-Minibatch[ 201- 210, 65.63%]: CrossEntropyWithSoftmax = 2.53269653 * 640; EvalClassificationError = 0.64375000 * 640; time = 0.0172s; samplesPerSecond = 37151.0
12/15/2016 08:33:21:  Epoch[ 1 of 3]-Minibatch[ 211- 220, 68.75%]: CrossEntropyWithSoftmax = 2.53923340 * 640; EvalClassificationError = 0.63750000 * 640; time = 0.0173s; samplesPerSecond = 37067.1
12/15/2016 08:33:21:  Epoch[ 1 of 3]-Minibatch[ 221- 230, 71.88%]: CrossEntropyWithSoftmax = 2.48909302 * 640; EvalClassificationError = 0.64218750 * 640; time = 0.0173s; samplesPerSecond = 36989.9
12/15/2016 08:33:21:  Epoch[ 1 of 3]-Minibatch[ 231- 240, 75.00%]: CrossEntropyWithSoftmax = 2.50032349 * 640; EvalClassificationError = 0.65156250 * 640; time = 0.0172s; samplesPerSecond = 37185.5
12/15/2016 08:33:21:  Epoch[ 1 of 3]-Minibatch[ 241- 250, 78.13%]: CrossEntropyWithSoftmax = 2.43569946 * 640; EvalClassificationError = 0.63125000 * 640; time = 0.0172s; samplesPerSecond = 37116.5
12/15/2016 08:33:21:  Epoch[ 1 of 3]-Minibatch[ 251- 260, 81.25%]: CrossEntropyWithSoftmax = 2.34293823 * 640; EvalClassificationError = 0.61562500 * 640; time = 0.0173s; samplesPerSecond = 37056.3
12/15/2016 08:33:21:  Epoch[ 1 of 3]-Minibatch[ 261- 270, 84.38%]: CrossEntropyWithSoftmax = 2.20427856 * 640; EvalClassificationError = 0.57812500 * 640; time = 0.0173s; samplesPerSecond = 36934.4
12/15/2016 08:33:21:  Epoch[ 1 of 3]-Minibatch[ 271- 280, 87.50%]: CrossEntropyWithSoftmax = 2.46885986 * 640; EvalClassificationError = 0.65468750 * 640; time = 0.0173s; samplesPerSecond = 37062.8
12/15/2016 08:33:21:  Epoch[ 1 of 3]-Minibatch[ 281- 290, 90.63%]: CrossEntropyWithSoftmax = 2.22067261 * 640; EvalClassificationError = 0.58906250 * 640; time = 0.0173s; samplesPerSecond = 36996.4
12/15/2016 08:33:21:  Epoch[ 1 of 3]-Minibatch[ 291- 300, 93.75%]: CrossEntropyWithSoftmax = 2.21785278 * 640; EvalClassificationError = 0.60781250 * 640; time = 0.0172s; samplesPerSecond = 37237.4
12/15/2016 08:33:21:  Epoch[ 1 of 3]-Minibatch[ 301- 310, 96.88%]: CrossEntropyWithSoftmax = 2.20442505 * 640; EvalClassificationError = 0.57812500 * 640; time = 0.0172s; samplesPerSecond = 37133.7
12/15/2016 08:33:21:  Epoch[ 1 of 3]-Minibatch[ 311- 320, 100.00%]: CrossEntropyWithSoftmax = 2.18215332 * 640; EvalClassificationError = 0.58593750 * 640; time = 0.0171s; samplesPerSecond = 37411.6
12/15/2016 08:33:21: Finished Epoch[ 1 of 3]: [Training] CrossEntropyWithSoftmax = 2.99321232 * 20480; EvalClassificationError = 0.72216797 * 20480; totalSamplesSeen = 20480; learningRatePerSample = 0.015625; epochTime=0.56065s
12/15/2016 08:33:21: SGD: Saving checkpoint model 'C:\Users\svcphil\AppData\Local\Temp\cntk-test-20161215082728.104126\Speech_QuickE2E@release_gpu/models/cntkSpeech.dnn.1'

12/15/2016 08:33:21: Starting Epoch 2: learning rate per sample = 0.001953  effective momentum = 0.656119  momentum as time constant = 607.5 samples
minibatchiterator: epoch 1: frames [20480..40960] (first utterance at frame 20480), data subset 0 of 1, with 1 datapasses

12/15/2016 08:33:21: Starting minibatch loop.
12/15/2016 08:33:21:  Epoch[ 2 of 3]-Minibatch[   1-  10, 12.50%]: CrossEntropyWithSoftmax = 2.08889847 * 2560; EvalClassificationError = 0.56367188 * 2560; time = 0.0268s; samplesPerSecond = 95515.3
12/15/2016 08:33:21:  Epoch[ 2 of 3]-Minibatch[  11-  20, 25.00%]: CrossEntropyWithSoftmax = 2.00776215 * 2560; EvalClassificationError = 0.54218750 * 2560; time = 0.0210s; samplesPerSecond = 121968.7
12/15/2016 08:33:21:  Epoch[ 2 of 3]-Minibatch[  21-  30, 37.50%]: CrossEntropyWithSoftmax = 1.99260178 * 2560; EvalClassificationError = 0.54257813 * 2560; time = 0.0209s; samplesPerSecond = 122482.2
12/15/2016 08:33:22:  Epoch[ 2 of 3]-Minibatch[  31-  40, 50.00%]: CrossEntropyWithSoftmax = 1.98459930 * 2560; EvalClassificationError = 0.54648438 * 2560; time = 0.0209s; samplesPerSecond = 122511.5
12/15/2016 08:33:22:  Epoch[ 2 of 3]-Minibatch[  41-  50, 62.50%]: CrossEntropyWithSoftmax = 1.97206497 * 2560; EvalClassificationError = 0.53984375 * 2560; time = 0.0209s; samplesPerSecond = 122623.0
12/15/2016 08:33:22:  Epoch[ 2 of 3]-Minibatch[  51-  60, 75.00%]: CrossEntropyWithSoftmax = 1.91865540 * 2560; EvalClassificationError = 0.52109375 * 2560; time = 0.0208s; samplesPerSecond = 122793.6
12/15/2016 08:33:22:  Epoch[ 2 of 3]-Minibatch[  61-  70, 87.50%]: CrossEntropyWithSoftmax = 1.91066666 * 2560; EvalClassificationError = 0.52148438 * 2560; time = 0.0208s; samplesPerSecond = 123041.4
12/15/2016 08:33:22:  Epoch[ 2 of 3]-Minibatch[  71-  80, 100.00%]: CrossEntropyWithSoftmax = 1.89501343 * 2560; EvalClassificationError = 0.51992187 * 2560; time = 0.0203s; samplesPerSecond = 126015.3
12/15/2016 08:33:22: Finished Epoch[ 2 of 3]: [Training] CrossEntropyWithSoftmax = 1.97128277 * 20480; EvalClassificationError = 0.53715820 * 20480; totalSamplesSeen = 40960; learningRatePerSample = 0.001953125; epochTime=0.174434s
12/15/2016 08:33:22: SGD: Saving checkpoint model 'C:\Users\svcphil\AppData\Local\Temp\cntk-test-20161215082728.104126\Speech_QuickE2E@release_gpu/models/cntkSpeech.dnn.2'

12/15/2016 08:33:22: Starting Epoch 3: learning rate per sample = 0.000098  effective momentum = 0.656119  momentum as time constant = 2429.9 samples
minibatchiterator: epoch 2: frames [40960..61440] (first utterance at frame 40960), data subset 0 of 1, with 1 datapasses

12/15/2016 08:33:22: Starting minibatch loop.
12/15/2016 08:33:22:  Epoch[ 3 of 3]-Minibatch[   1-  10, 50.00%]: CrossEntropyWithSoftmax = 1.89820595 * 10240; EvalClassificationError = 0.52470703 * 10240; time = 0.0526s; samplesPerSecond = 194680.5
12/15/2016 08:33:22:  Epoch[ 3 of 3]-Minibatch[  11-  20, 100.00%]: CrossEntropyWithSoftmax = 1.91958046 * 10240; EvalClassificationError = 0.53974609 * 10240; time = 0.0371s; samplesPerSecond = 276018.2
12/15/2016 08:33:22: Finished Epoch[ 3 of 3]: [Training] CrossEntropyWithSoftmax = 1.90889320 * 20480; EvalClassificationError = 0.53222656 * 20480; totalSamplesSeen = 61440; learningRatePerSample = 9.7656251e-005; epochTime=0.094409s
12/15/2016 08:33:22: SGD: Saving checkpoint model 'C:\Users\svcphil\AppData\Local\Temp\cntk-test-20161215082728.104126\Speech_QuickE2E@release_gpu/models/cntkSpeech.dnn'

12/15/2016 08:33:22: Action "train" complete.

12/15/2016 08:33:22: __COMPLETED__
=== Deleting last epoch data
==== Re-running from checkpoint
=== Running /cygdrive/c/jenkins/workspace/CNTK-Test-Windows-W1/x64/release/cntk.exe configFile=C:\jenkins\workspace\CNTK-Test-Windows-W1\Tests\EndToEndTests\Speech\QuickE2E/cntk.cntk currentDirectory=C:\jenkins\workspace\CNTK-Test-Windows-W1\Tests\EndToEndTests\Speech\Data RunDir=C:\Users\svcphil\AppData\Local\Temp\cntk-test-20161215082728.104126\Speech_QuickE2E@release_gpu DataDir=C:\jenkins\workspace\CNTK-Test-Windows-W1\Tests\EndToEndTests\Speech\Data ConfigDir=C:\jenkins\workspace\CNTK-Test-Windows-W1\Tests\EndToEndTests\Speech\QuickE2E OutputDir=C:\Users\svcphil\AppData\Local\Temp\cntk-test-20161215082728.104126\Speech_QuickE2E@release_gpu DeviceId=0 timestamping=true makeMode=true
CNTK 2.0.beta6.0+ (HEAD 5f1fab, Dec 15 2016 06:29:34) on dphaim-26-new at 2016/12/15 08:33:27

C:\jenkins\workspace\CNTK-Test-Windows-W1\x64\release\cntk.exe  configFile=C:\jenkins\workspace\CNTK-Test-Windows-W1\Tests\EndToEndTests\Speech\QuickE2E/cntk.cntk  currentDirectory=C:\jenkins\workspace\CNTK-Test-Windows-W1\Tests\EndToEndTests\Speech\Data  RunDir=C:\Users\svcphil\AppData\Local\Temp\cntk-test-20161215082728.104126\Speech_QuickE2E@release_gpu  DataDir=C:\jenkins\workspace\CNTK-Test-Windows-W1\Tests\EndToEndTests\Speech\Data  ConfigDir=C:\jenkins\workspace\CNTK-Test-Windows-W1\Tests\EndToEndTests\Speech\QuickE2E  OutputDir=C:\Users\svcphil\AppData\Local\Temp\cntk-test-20161215082728.104126\Speech_QuickE2E@release_gpu  DeviceId=0  timestamping=true  makeMode=true
Changed current directory to C:\jenkins\workspace\CNTK-Test-Windows-W1\Tests\EndToEndTests\Speech\Data

12/15/2016 08:33:30: ##############################################################################
12/15/2016 08:33:30: #                                                                            #
12/15/2016 08:33:30: # speechTrain command (train action)                                         #
12/15/2016 08:33:30: #                                                                            #
12/15/2016 08:33:30: ##############################################################################

parallelTrain option is not enabled. ParallelTrain config will be ignored.
12/15/2016 08:33:30: 
Starting from checkpoint. Loading network from 'C:\Users\svcphil\AppData\Local\Temp\cntk-test-20161215082728.104126\Speech_QuickE2E@release_gpu/models/cntkSpeech.dnn.2'.
SimpleNetworkBuilder Using GPU 0
reading script file glob_0000.scp ... 948 entries
total 132 state names in state list C:\jenkins\workspace\CNTK-Test-Windows-W1\Tests\EndToEndTests\Speech\Data/state.list
htkmlfreader: reading MLF file C:\jenkins\workspace\CNTK-Test-Windows-W1\Tests\EndToEndTests\Speech\Data/glob_0000.mlf ... total 948 entries
...............................................................................................feature set 0: 252734 frames in 948 out of 948 utterances
label set 0: 129 classes
minibatchutterancesource: 948 utterances grouped into 3 chunks, av. chunk size: 316.0 utterances, 84244.7 frames
12/15/2016 08:33:31: 
Model has 25 nodes. Using GPU 0.

12/15/2016 08:33:31: Training criterion:   CrossEntropyWithSoftmax = CrossEntropyWithSoftmax
12/15/2016 08:33:31: Evaluation criterion: EvalClassificationError = ClassificationError

12/15/2016 08:33:31: Training 516740 parameters in 6 out of 6 parameter tensors and 15 nodes with gradient:

12/15/2016 08:33:31: 	Node 'B0' (LearnableParameter operation) : [512 x 1]
12/15/2016 08:33:31: 	Node 'B1' (LearnableParameter operation) : [512 x 1]
12/15/2016 08:33:31: 	Node 'B2' (LearnableParameter operation) : [132 x 1]
12/15/2016 08:33:31: 	Node 'W0' (LearnableParameter operation) : [512 x 363]
12/15/2016 08:33:31: 	Node 'W1' (LearnableParameter operation) : [512 x 512]
12/15/2016 08:33:31: 	Node 'W2' (LearnableParameter operation) : [132 x 512]

12/15/2016 08:33:31: No PreCompute nodes found, or all already computed. Skipping pre-computation step.

12/15/2016 08:33:31: Starting Epoch 3: learning rate per sample = 0.000098  effective momentum = 0.656119  momentum as time constant = 2429.9 samples
minibatchiterator: epoch 2: frames [40960..61440] (first utterance at frame 40960), data subset 0 of 1, with 1 datapasses
requiredata: determined feature kind as 33-dimensional 'USER' with frame shift 10.0 ms

12/15/2016 08:33:31: Starting minibatch loop.
12/15/2016 08:33:32:  Epoch[ 3 of 3]-Minibatch[   1-  10, 50.00%]: CrossEntropyWithSoftmax = 1.89820595 * 10240; EvalClassificationError = 0.52470703 * 10240; time = 0.3146s; samplesPerSecond = 32554.2
12/15/2016 08:33:32:  Epoch[ 3 of 3]-Minibatch[  11-  20, 100.00%]: CrossEntropyWithSoftmax = 1.91958046 * 10240; EvalClassificationError = 0.53974609 * 10240; time = 0.0370s; samplesPerSecond = 276831.6
12/15/2016 08:33:32: Finished Epoch[ 3 of 3]: [Training] CrossEntropyWithSoftmax = 1.90889320 * 20480; EvalClassificationError = 0.53222656 * 20480; totalSamplesSeen = 61440; learningRatePerSample = 9.7656251e-005; epochTime=0.545691s
12/15/2016 08:33:32: SGD: Saving checkpoint model 'C:\Users\svcphil\AppData\Local\Temp\cntk-test-20161215082728.104126\Speech_QuickE2E@release_gpu/models/cntkSpeech.dnn'

12/15/2016 08:33:32: Action "train" complete.

12/15/2016 08:33:32: __COMPLETED__
