SLU example update
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@ -4,4 +4,4 @@ ConfigDir=$WorkDir$\config
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NdlDir=$ConfigDir$
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ExpDir=c:\temp\exp\atis
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OutDir=$ExpDir$\output
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DeviceNumber=-1
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DeviceNumber=0
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@ -15,7 +15,7 @@ LSTM=[
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# minibatch size, for example in language model, is the number of input words
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# e.g., 6, corresponds to having 6 inputs words from one sentence
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# In the learning process, we split an input sequence into a vector of subsequences of size T_bptt .
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minibatchSize=10
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minibatchSize=100
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# need to be small since models are updated for each minibatch
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traceLevel=1
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@ -38,12 +38,12 @@ LSTM=[
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# # default hidden layer activity
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defaultHiddenActivity=0.1
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recurrentLayer=2
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recurrentLayer=2:3:4
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# randomization range
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initValueScale=6.0
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# first layer, second layer, and output layer size
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layerSizes=2832:50:300:127
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layerSizes=2832:50:300:300:300:127
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rnnType=LSTM
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lookupTableOrder=3
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