本文整理汇总了C++中NeuralNetwork::getOutputNum方法的典型用法代码示例。如果您正苦于以下问题：C++ NeuralNetwork::getOutputNum方法的具体用法？C++ NeuralNetwork::getOutputNum怎么用？C++ NeuralNetwork::getOutputNum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NeuralNetwork的用法示例。
在下文中一共展示了NeuralNetwork::getOutputNum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: distribution
//TO FINISH
NeuralNetwork::NeuralNetwork(const NeuralNetwork& father, const NeuralNetwork& mother, bool addRandomChange)
{
//checks if sizes correspond
if(father.getInputNum() != mother.getInputNum()
|| father.getLayers().size() != mother.getLayers().size())
{
cerr << "error, mother and father NN of different sizes" << endl;
cerr << "error in numbers of layers" << endl;
cerr << father.getLayers().size() << " " << mother.getLayers().size() << endl;
}
for(unsigned int i=0; i<father.getLayers().size(); i++)
{
if (father.getLayers()[i].getNeurons().size() != mother.getLayers()[i].getNeurons().size())
{
cerr << "error, mother and father NN of different sizes" << endl;
cerr << "error in layers " << i << endl;
cerr << father.getLayers()[i].getNeurons().size() << " " << mother.getLayers()[i].getNeurons().size() << endl;
}
}
m_inputNum = father.getInputNum();
m_outputNum = father.getOutputNum();
m_hiddenLayerNum = father.getHiddenLayerNum();
vector<Neuron> childNeurons;
static mt19937 generator(random_device{}());
bernoulli_distribution distribution(0.5);
for(unsigned i = 0; i < father.m_layers.size(); i++)
{
const auto& fatherLayer = father.m_layers[i];
const auto& motherLayer = mother.m_layers[i];
for(int j = 0; j < fatherLayer.getNeuronNum(); j++)
{
const auto& fatherNeurons = fatherLayer.getNeurons();
const auto& motherNeurons = motherLayer.getNeurons();
// 1/2 chance to take the mother neuron
if(distribution(generator))
{
childNeurons.push_back(motherNeurons[j]);
}
else
{
childNeurons.push_back(fatherNeurons[j]);
}
}
m_layers.push_back(childNeurons);
childNeurons.clear();
}
if(addRandomChange)
{
randomiseWeight();
}
}