/// <param name="args"> command line arguments which represent paths to persisted neural network
/// [0] - location of neural network </param>
//JAVA TO C# CONVERTER WARNING: Method 'throws' clauses are not available in .NET:
//ORIGINAL LINE: public static void main(String[] args) throws java.io.IOException
public static void Main(string[] args)
{
DataSet testSet = MNISTDataSet.createFromFile(MNISTDataSet.TEST_LABEL_NAME, MNISTDataSet.TEST_IMAGE_NAME, 10000);
NeuralNetwork nn = NeuralNetwork.load(new FileInputStream(args[0]));
Evaluation.runFullEvaluation(nn, testSet);
}
/// <param name="args"> command line arguments which represent paths to persisted neural networks
/// [0] - location of first neural network
/// [1] - location of second neural network </param>
//JAVA TO C# CONVERTER WARNING: Method 'throws' clauses are not available in .NET:
//ORIGINAL LINE: public static void main(String[] args) throws java.io.IOException
public static void Main(string[] args)
{
DataSet testSet = MNISTDataSet.createFromFile(MNISTDataSet.TEST_LABEL_NAME, MNISTDataSet.TEST_IMAGE_NAME, 10000);
NeuralNetwork nn1 = NeuralNetwork.load(new FileInputStream(args[0]));
NeuralNetwork nn2 = NeuralNetwork.load(new FileInputStream(args[1]));
(new McNemarTest()).evaluateNetworks(nn1, nn2, testSet);
}
//JAVA TO C# CONVERTER WARNING: Method 'throws' clauses are not available in .NET:
//ORIGINAL LINE: public static void main(String[] args) throws java.io.IOException
public static void Main(string[] args)
{
DataSet trainSet = MNISTDataSet.createFromFile(MNISTDataSet.TRAIN_LABEL_NAME, MNISTDataSet.TRAIN_IMAGE_NAME, 200);
DataSet testSet = MNISTDataSet.createFromFile(MNISTDataSet.TEST_LABEL_NAME, MNISTDataSet.TEST_IMAGE_NAME, 10000);
BackPropagation learningRule = createLearningRule();
NeuralNetwork neuralNet = (new MultilayerPerceptronOptimazer <>()).withLearningRule(learningRule).createOptimalModel(trainSet);
Evaluation.runFullEvaluation(neuralNet, testSet);
}
