void InitializeLearningExample()
{
Undo.RecordObject(this, "InitializeLearningExample");
int inputSize = neuralNet.InputSize;
int outputSize = neuralNet.OutputSize;
for (int i = 0; i < learningExamples.Length; i++)
{
learningExamples[i] = new LearningExample(inputSize, outputSize);
}
}
LearningExample[] GetMinibatch(int size)
{
LearningExample[] minibatch;
int maxSize = Mathf.Min(size, allIndices.Count);
//
minibatch = new LearningExample[maxSize];
for (int i = 0; i < maxSize; i++)
{
minibatch[i] = GetLearningExample(TakeRandomIndex());
}
//
return(minibatch);
}
