神经网络初始化 - Nguyen Widrow实现?

时间:2012-08-08 15:49:23

标签: initialization neural-network

我已经开始实施Nguyen Widrow算法(如下所示),它似乎运行正常,但我有一些后续问题:

  • 这看起来是正确的实现吗?

  • Nguyen Widrow初始化是否适用于任何网络拓扑/ 大小? (即5层AutoEncoder)

  • Nguyen Widrow初始化对任何输入范围都有效吗? (0/1,-1 / + 1等)

  • Nguyen Widrow初始化对任何激活函数都有效吗? (即Logistic,Tanh,Linear)

以下代码假设网络已经被随机化为-1 / + 1:

        ' Calculate the number of hidden neurons
        Dim HiddenNeuronsCount As Integer = Me.TotalNeuronsCount - (Me.InputsCount - Me.OutputsCount)

        ' Calculate the Beta value for all hidden layers
        Dim Beta As Double = (0.7 * Math.Pow(HiddenNeuronsCount, (1.0 / Me.InputsCount)))

        ' Loop through each layer in neural network, skipping input layer
        For i As Integer = 1 To Layers.GetUpperBound(0)

            ' Loop through each neuron in layer
            For j As Integer = 0 To Layers(i).Neurons.GetUpperBound(0)

                Dim InputsNorm As Double = 0

                ' Loop through each weight in neuron inputs, add weight value to InputsNorm
                For k As Integer = 0 To Layers(i).Neurons(j).ConnectionWeights.GetUpperBound(0)
                    InputsNorm += Layers(i).Neurons(j).ConnectionWeights(k) * Layers(i).Neurons(j).ConnectionWeights(k)
                Next

                ' Add bias value to InputsNorm
                InputsNorm += Layers(i).Neurons(j).Bias * Layers(i).Neurons(j).Bias

                ' Finalize euclidean norm calculation
                InputsNorm = Math.Sqrt(InputsNorm)

                ' Loop through each weight in neuron inputs, scale the weight based on euclidean norm and beta
                For k As Integer = 0 To Layers(i).Neurons(j).ConnectionWeights.GetUpperBound(0)
                    Layers(i).Neurons(j).ConnectionWeights(k) = (Beta * Layers(i).Neurons(j).ConnectionWeights(k)) / InputsNorm
                Next

                ' Scale the bias based on euclidean norm and beta
                Layers(i).Neurons(j).Bias = (Beta * Layers(i).Neurons(j).Bias) / InputsNorm

            Next

        Next

1 个答案:

答案 0 :(得分:1)

Nguyen& Widrow在他们的论文中假设输入介于-1和+1之间。 Nguyen Widrow初始化对任何长度有限的激活函数都有效。 在他们的论文中,他们只讨论了一个2层NN,不确定是否有5层NN。

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