/// <summary>
/// Constructor for creating new dense layer
/// </summary>
/// <param name="activationFunction">type of activation function</param>
/// <param name="numNeurons">number of neurons which will be used</param>
public LinearLayer(int numNeurons, AbstractBiasInitializer biasInitializer = null,
AbstractWeightInitializer weightInitializer = null, AbstractRegularizer regularizer = null)
{
this.numNeurons = numNeurons;
this.regularizer = regularizer;
layerName = "Linear";
}
/// <summary>
/// Constructor for initialization of convolution layer
/// </summary>
/// <param name="inputDimension">dimension of input data</param>
/// <param name="filterSize">size of filters which will be used</param>
/// <param name="filterCount">count of filters which will be used</param>
/// <param name="stride">stride of filters during convolution</param>
/// <param name="zeroPadding">if is true zero padding will be used</param>
public Convolution1DLayer(Dimension inputDimension = null, int filterSize = DEFAULT_FILTER_SIZE,
int filterCount = DEFAULT_FILTER_COUNT, int stride = DEFAULT_STRIDE,
bool zeroPadding = DEFAULT_ZERO_PADDING, AbstractBiasInitializer biasInitializer = null,
AbstractWeightInitializer weightInitializer = null, AbstractRegularizer regularizer = null)
{
// init vaiiables
this.filterSize = filterSize;
this.filterCount = filterCount;
this.stride = stride;
this.zeroPadding = zeroPadding;
this.inputDimension = inputDimension;
this.regularizer = regularizer;
layerName = CONV_LAYER_NAME;
outputSize = 0;
this.biasInitializer = biasInitializer;
this.weightInitializer = weightInitializer;
}