public NeuralNetworkBuilder WithInputLayer(int neuronCount, ActivationType activationType, double biasOutput = 1)
{
var neurons = new List <Neuron>();
for (var i = 0; i < neuronCount; i++)
{
neurons.Add(Neuron.For(context, activationType));
}
inputLayer = InputLayer.For(neurons, BiasNeuron.For(context, activationType, biasOutput));
return(this);
}
public NeuralNetworkBuilder WithHiddenLayer(int neuronCount, ActivationType activationType, double biasOutput = 1)
{
var neurons = new List <Neuron>();
for (var i = 0; i < neuronCount; i++)
{
neurons.Add(Neuron.For(
context,
activationType,
randomNumberGenerator,
PreviousLayer.Neurons));
}
hiddenLayers.Add(HiddenLayer.For(neurons, BiasNeuron.For(context, activationType, biasOutput)));
return(this);
}
