本文整理汇总了C++中NeuralNetwork::backProp方法的典型用法代码示例。如果您正苦于以下问题：C++ NeuralNetwork::backProp方法的具体用法？C++ NeuralNetwork::backProp怎么用？C++ NeuralNetwork::backProp使用的例子？那么, 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::backProp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: getWeights
// train and save weights every 10 epochs
void Stats::getWeights(int numHidden, double learnRate)
{
NeuralNetwork *net = new NeuralNetwork(NUM_ATTRIBUTES, numHidden);
net->init(learnRate);
const vector<int> train = d->getTraining();
double meanErr;
for (int epoch = 0; epoch <= num_epochs; epoch++) {
if (isDebug)
cout << 100*(double)epoch/(double)num_epochs << "\tpercent trained" << endl;
for (int i = 0; i < NUM_TRAIN; i++) {
const vector<double>& lineIn = d->getData()[train[i]];
net->backProp(lineIn, d->getCover(train[i]));
}
if (epoch % 10 == 0) {
//now we save the weights
stringstream weightsFileName;
weightsFileName << numHidden << "-" << epoch << ".weights";
net->readWeightsToFile(weightsFileName.str());
}
}
}