/// <summary>
///Evaluates all of the outputs of the neural network.
/// </summary>
/// <param name="inputs">Enumerable of all the input values</param>
/// <returns>dictionary with names of outputs mapping to their values.</returns>
public Dictionary <string, double> Evaluate(IEnumerable <double> inputs)
{
for (int i = 1; i < NumInputs; i++)
{
Neurons.TryGetValue(i, out Neuron inputNeuron);
inputNeuron.Value = inputs.ElementAt(i - 1);
}
Dictionary <string, double> outputs = new Dictionary <string, double>();
for (int i = NumInputs; i < NumInputs + NumOutputs; i++)
{
Neurons.TryGetValue(i, out Neuron OutputNeuron);
outputs.Add(outputNames[i - NumInputs], OutputNeuron.GetValue());
}
return(outputs);
}
