gistfile1.hpp

NeuralNet::NeuralNet(int numInputs, int numHidden, int numOutput)
{
    // Add an additional input as the bias node
    mNumInputs = numInputs + 1;
    mNumHidden = numHidden;
    mNumOutputs = numOutput;

    mWin = new Matrix::Matrix(mNumInputs, mNumHidden);
    mWout = new Matrix::Matrix(mNumHidden, mNumOutputs);

    mInputActivation = std::vector<double>(mNumInputs, 1.0);
    mHiddenActivation = std::vector<double>(mNumHidden, 1.0);
    mOutputActivation = std::vector<double>(mNumOutputs, 1.0);

    initialize();
}

gistfile2.hpp

NeuralNet::NeuralNet(int numInputs, int numHidden, int numOutput)
: mNumInputs(numInputs + 1),
  NumHidden(numHidden),
  mNumOutputs(numOutput),
  mWin(new Matrix(mNumInputs, mNumHidden)),
  mWout(new Matrix(mNumHidden, mNumOutputs)),
  mInputActivation(mNumInputs, 1.0),
  mHiddenActivation(mNumHidden),
  mOutputActivation(mNumOutputs)
{
    initialize();
}