static float QuadraticWholeCost(NeuralNet neuralNet, LearningExample[] learningExamples)
{
float wholeCost = 0;
for (int i = 0; i < learningExamples.Length; i++)
{
wholeCost += QuadraticSingleCost(learningExamples[i].Output, neuralNet.Compute(learningExamples[i].Input));
}
return(wholeCost / learningExamples.Length);
}
static float CrossEntropyWholeCost(NeuralNet neuralNet, LearningExample[] learningExamples)
{
float wholeCost = 0;
for (int i = 0; i < learningExamples.Length; i++)
{
float singleCost = CrossEntropySingleCost(learningExamples[i].Output, neuralNet.Compute(learningExamples[i].Input));
wholeCost += singleCost;
}
return(-wholeCost / learningExamples.Length);
}
