public static InputLayer BuildInputLayer(IWeightBuilder weightBuilder, int numberOfNeurons, Random random)
{
InputLayer toReturn = new InputLayer(numberOfNeurons, random);
for (int c = 0; c < numberOfNeurons; c++)
{
toReturn.Neurons.Add(Neuron.BuildNeuron(weightBuilder, null));
}
return(toReturn);
}
public static OutputLayer BuildOutputLayer(IWeightBuilder weightBuilder,
HiddenLayer previousLayer, int numberOfNeurons, double probabilityOfDropout, Random random)
{
OutputLayer toReturn = new OutputLayer(numberOfNeurons, probabilityOfDropout, random);
for (int c = 0; c < numberOfNeurons; c++)
{
toReturn.Neurons.Add(Neuron.BuildNeuron(weightBuilder, previousLayer));
}
return(toReturn);
}
