本文整理汇总了C#中MathNet.Numerics.LinearAlgebra.Single.DenseMatrix.SetSubMatrix方法的典型用法代码示例。如果您正苦于以下问题：C# DenseMatrix.SetSubMatrix方法的具体用法？C# DenseMatrix.SetSubMatrix怎么用？C# DenseMatrix.SetSubMatrix使用的例子？那么恭喜您, 这里精选的方法代码示例或许可以为您提供帮助。您也可以进一步了解该方法所在类MathNet.Numerics.LinearAlgebra.Single.DenseMatrix的用法示例。
在下文中一共展示了DenseMatrix.SetSubMatrix方法的1个代码示例，这些例子默认根据受欢迎程度排序。您可以为喜欢或者感觉有用的代码点赞，您的评价将有助于系统推荐出更棒的C#代码示例。
示例1: backpropTraining
/// <summary>
/// Trains the network using common backprop.
/// </summary>
/// <param name="traindata">all training data used in this training session. Matrix must have the size (PatternSize X PatternCount)</param>
/// <param name="epochs">Number of epochs to train the network.</param>
internal void backpropTraining(ArrayInputData traindata, int epochs)
{
// training pattern init
Matrix<float> pat = new DenseMatrix(traindata.Key.RowCount + 1, traindata.Key.ColumnCount, 1.0f);
pat.SetSubMatrix(0, traindata.Key.RowCount, 0, traindata.Key.ColumnCount, traindata.Key);
// target values init
Matrix<float> targets = traindata.Value;
// dw, dv
Matrix<float> dw = new DenseMatrix(HiddenNodes, PatternSize + 1);
Matrix<float> dv = new DenseMatrix(TargetSize, HiddenNodes + 1);
// training
for (int i = 0; i < epochs; i++)
{
// backprop
forwardPass(pat);
backwardPass(pat, targets);
weightUpdate(pat, dw, dv, targets);
}
}