public static Func <ActivationFunc, Random, double> GetInitFunction(InitializationFunction initializationFunction)
{
switch (initializationFunction)
{
default:
case InitializationFunction.Random:
return(RandomInitialization);
}
}
/// <summary>
/// Initializes a new instance of <see cref="Dense"/>
/// </summary>
/// <param name="units">Kernel size of the layer</param>
/// <param name="activation">Activation function to use (default sigmoid)</param>
/// <param name="input">Input layer to connect to</param>
/// <param name="biasInitializer">Initialization function for the bias vector (default random normal)</param>
/// <param name="weightsInitializer">Initialization function for the weights matrix (default random normal)</param>
/// <param name="useBias">Whether or a bias term should be included in the layer</param>
/// <param name="name">Name of the layer</param>
/// <remarks>
/// When no name is provided for a layer, one will be generated when you compile the model.
/// </remarks>
public Dense(int units, Layer input, ActivationFunction activation = null, InitializationFunction weightsInitializer = null, InitializationFunction biasInitializer = null, bool useBias = true, string name = null) : base(name)
{
if (units <= 0)
{
throw new ArgumentException("Invalid layer size. Should be greater than zero", nameof(units));
}
_units = units;
_useBias = useBias;
_activation = activation ?? new Sigmoid();
_weightsInitializer = weightsInitializer ?? new RandomNormal();
_biasInitializer = biasInitializer ?? new RandomNormal();
_input = input ?? throw new ArgumentNullException(nameof(input));
}
public INeuralNetworkBuilderCreateInput SetInitMethod(InitializationFunction initializationFunction)
{
InitializationFunction = initializationFunction;
return(this);
}
public Neuron(ActivationFunc activationFunc, InitializationFunction initializationFunction, int inputCount)
{
ActivationFunc = activationFunc;
InputDendrites = new double[inputCount];
InitializationFunc = initializationFunction;
}
public NeuralNetworkBuilder(InitializationFunction initializationFunc)
{
InitializationFunction = initializationFunc;
}
