MakeModel.cntk

# MakeModel.cntk

command=Train:WriteProbs:DumpWeights:Test

modelPath = "Model\SimpleNet.snn"
deviceId = -1
dimension = 2 
labelDimension = 3
precision = "float"

# =====
Train = [
  action="train"

  # network description
  BrainScriptNetworkBuilder = [

    FDim = $dimension$
    HDim = 5
    LDim = $labelDimension$

    # define the neural network
    neuralDef (ftrs) = [
      W0 = Parameter (HDim, FDim)
      b0 = Parameter (HDim, 1)  
      W1 = Parameter (LDim, HDim)
      b1 = Parameter (LDim, 1)

      hn = Tanh (W0 * ftrs + b0) 
      zn = W1 * hn + b1
    ].zn

    # specify inputs
    features = Input (FDim)
    labels   = Input (LDim) 

    # create network
    myNet = neuralDef (features)

    # define training criteria and output(s)
    ce   = CrossEntropyWithSoftmax (labels, myNet)
    err  = ErrorPrediction (labels, myNet)
    pn   = Softmax (myNet)

    # connect to the NDL system.
    featureNodes    = (features)
    inputNodes      = (labels)
    criterionNodes  = (ce)
    evaluationNodes = (err)
    outputNodes     = (pn)
  ]

  # stochastic gradient descent
  SGD = [
    epochSize = 0
    minibatchSize = 1
    learningRatesPerSample = 0.04 
    maxEpochs = 500
    momentumPerMB = 0.90 
  ]

  # configuration for reading data
  reader = [
    readerType = "CNTKTextFormatReader"
    file = "TrainData.txt"
    input = [
      features = [
        dim = $dimension$
        format = "dense"
      ]
      labels = [
        dim = $labelDimension$
        format = "dense"
      ]
    ]
  ]
]

# test
Test = [
  action = "test"
  reader = [
    readerType = "CNTKTextFormatReader"
    file="TestData.txt"
    randomize = "false"
    input = [
      features = [
        dim = $dimension$
        format = "dense"
      ]
      labels = [
        dim = $labelDimension$
        format = "dense"
      ]
    ]
  ]
]

# log the output node values
WriteProbs = [ 
  action="write"
  reader=[
    readerType="CNTKTextFormatReader"
    file="TestData.txt"        
    input = [
      features = [
        dim = $dimension$
        format = "dense"
      ]
      labels = [
        dim = $labelDimension$
        format = "dense"
      ]
    ]
  ]
  outputPath = "TestProbs_txt"
]

# dump weight and bias values
DumpWeights = [
  action = "dumpNode"
  printValues = "true"
]