protected void Application_Start()
{
GlobalConfiguration.Configure(WebApiConfig.Register);
BasicFeedForwardNeuralNetwork neuralNetwork = new BasicFeedForwardNeuralNetwork(2, 5, 1);
// Target values are initially set to represent the AND operator
Double[,] targetValues = new Double[4, 1]
{
{ 0.0 },
{ 0.0 },
{ 0.0 },
{ 1.0 }
};
Application.Add("NeuralNetwork", neuralNetwork);
Application.Add("TargetValues", targetValues);
}
/// <include file='InterfaceDocumentationComments.xml' path='doc/members/member[@name="M:BackPropagationVisualization.Models.IFeedForwardNeuralNetwork.Train(System.Double[0:,0:],System.Double[0:,0:],System.Double,System.Int32,System.Int32,System.Boolean)"]/*'/>
public void Train(double[,] trainingData, double[,] targetValues, double learningRate, int batchSize, int numberOfEpochs, bool keepCostHistory)
{
BasicFeedForwardNeuralNetwork neuralNetwork = GetNeuralNetworkFromApplication();
neuralNetwork.Train(trainingData, targetValues, learningRate, batchSize, numberOfEpochs, keepCostHistory);
}