public ReadMnist(bool isNeedTrain, bool isNeedTest)
{
FormConsole.PrintlnAndScroll("Read Mnist Start....");
if (isNeedTrain)
{
string trainImagesPath = @"mnist\train-images.idx3-ubyte";
string trainLabelsPath = @"mnist\train-labels.idx1-ubyte";
int trainPattCount = 60000 /*60000*/;
trainDigits = ReadMnistFromFiles(trainImagesPath, trainLabelsPath, trainPattCount, 28, 28);
FormConsole.PrintlnAndScroll("Read trainDigits Finish");
Thread.Sleep(TimeSpan.FromMilliseconds(2000));
}
if (isNeedTest)
{
string testImagesPath = @"mnist\t10k-images.idx3-ubyte";
string testLabelsPath = @"mnist\t10k-labels.idx1-ubyte";
/*string testImagesPath = @"mnist\train-images.idx3-ubyte";
* string testLabelsPath = @"mnist\train-labels.idx1-ubyte";*/
int testPattCount = 10000 /*10000*/;
testDigits = ReadMnistFromFiles(testImagesPath, testLabelsPath, testPattCount, 28, 28);
FormConsole.PrintlnAndScroll("Read testDigits Finish");
Thread.Sleep(TimeSpan.FromMilliseconds(2000));
}
FormConsole.PrintlnAndScroll("Read Mnist Finish");
Thread.Sleep(TimeSpan.FromMilliseconds(2000));
}
//Тест количество верных ответов для mnist TestDigits
public void MnistTest(ReadMnist readMnist, List <List <float> > answers)
{
FormConsole.PrintlnAndScroll("\r\nstart Mnist Test");
int testCount = readMnist.TestDigits.Count;
int goodCount = 0;
for (int i = 0; i < testCount; i++)
{
List <float> input = readMnist.TestDigits[i].floatPixels;
if (IsBiasNeuron)
{
input.Add(1);
}
int label = readMnist.TestDigits[i].label;
List <float> output = Run(input, IsBiasNeuron);
if (IsCorrectAnswer(output, answers[label]))
{
goodCount++;
}
if (i % 100 == 0)
{
FormConsole.PrintlnAndScroll("i = " + i + " goodCount = " + goodCount);
}
}
FormConsole.PrintlnAndScroll("goodCount = " + goodCount
+ "\r\nfinish Mnist Test");
}
//Тест количество верных ответов для mnist TestDigits
public void FormatTest(PatternsType patterns, KeysType keys, AnswersType answers)
{
FormConsole.PrintlnAndScroll("\r\nstart Format Test");
int testCount = patterns.Count;
int goodCount = 0;
int[] pattSuccess = new int[answers.Count];
for (int i = 0; i < testCount; i++)
{
List <float> input = patterns[i];
if (IsBiasNeuron && input.Count != this.inputLayer.SizeNeurons)
{
input.Add(1);
}
string label = keys[i];
List <float> output = Run(input, IsBiasNeuron);
if (IsCorrectAnswer(output, answers[label]))
{
goodCount++;
int num = 0;
if (int.TryParse(label, out num))
{
pattSuccess[num]++;
}
}
if (i % 1000 == 0)
{
FormConsole.PrintlnAndScroll("i = " + i + " goodCount = " + goodCount);
}
}
FormConsole.PrintlnAndScroll("goodCount = " + goodCount
+ "\r\nfinish Mnist Test");
for (int i = 0; i < pattSuccess.Length; i++)
{
FormConsole.AppendText(i + ": " + pattSuccess[i].ToString() + "\r\n");
}
}
