private BackPropagation(
NeuralNetwork neuralNetwork,
NeuronErrorGradientCalculator neuronErrorGradientCalculator,
SynapseWeightCalculator synapseWeightCalculator,
ParallelOptions parallelOptions)
: base(neuralNetwork)
{
this.neuralNetwork = neuralNetwork;
this.neuronErrorGradientCalculator = neuronErrorGradientCalculator;
this.synapseWeightCalculator = synapseWeightCalculator;
this.parallelOptions = parallelOptions;
}
public static BackPropagation WithConfiguration(
NeuralNetwork network,
ParallelOptions parallelOptions,
double learningRate = 1,
double momentum = 0)
{
return(new BackPropagation(
network,
NeuronErrorGradientCalculator.Create(),
SynapseWeightCalculator.For(learningRate, momentum),
parallelOptions
));
}