public Matrix <double> ProcessInputs(Matrix <double> neuronValues, Matrix <double> nextLayerNeuronBias = null) //If nextLayerNeuonBias = null then it is not using bias!!
{
//Batch Processing
if (Synapse == null)
{
throw new Exception("No synapse matrix to process layer. Do not process the output layer!");
}
if (neuronValues.ColumnCount != NeuronCount)
{
throw new Exception("Incorrect number of neuron values as input for layer " + Name);
}
//Matrix representation calculations for improved efficiency
Matrix <double> weights;
Matrix <double> input;
if (nextLayerNeuronBias != null)
{
weights = Synapse.Stack(nextLayerNeuronBias); //Add Row of biases
input = neuronValues.Append(Matrix <double> .Build.Dense(neuronValues.RowCount, 1, 1)); //Add Column of 1s
}
else
{
weights = Synapse;
input = neuronValues;
}
var layerOutput = input * weights;
Matrix <double> nextLayerNeuronValues = activationFunction(layerOutput);
return(nextLayerNeuronValues);
}