public Vector <float> FeedForward(Vector <float> inputs)
{
Vector <float> hiddenActivations = HiddenWeights
.Multiply(inputs)
.Add(HiddenBiases)
.Map(NetworkParameters.HiddenLayerActivationFunction);
return(OutputWeights
.Multiply(hiddenActivations)
.Add(OutputBiases)
.Map(NetworkParameters.OutputLayerActivationFunction));
}
public string ToFullParamsString()
{
return($"{NetworkParameters.InputCount}-{NetworkParameters.HiddenLayerNeuronCount}\n" +
$"{HiddenWeights.ToMatrixString()}\n{HiddenBiases.ToVectorString()}\n{OutputWeights.ToMatrixString()}\n{OutputBiases.ToVectorString()}");
}
public override string ToString()
{
return($"{NetworkParameters.InputCount}-{NetworkParameters.HiddenLayerNeuronCount} " +
$"{HiddenWeights.GetHashCode()},{HiddenBiases.GetHashCode()},{OutputWeights.GetHashCode()},{OutputBiases.GetHashCode()}");
}
public NeuralNetwork Clone()
{
return(new NeuralNetwork(HiddenWeights.Clone(), HiddenBiases.Clone(), OutputWeights.Clone(),
OutputBiases.Clone(), NetworkParameters.HiddenLayerActivationFunction, NetworkParameters.OutputLayerActivationFunction));
}