public ConvolutionLayer(ActivationType activationType, int neuronsCount, int kernelSize = 3, bool useReferences = false)
{
ActivationFunctionType = activationType;
_function = activationType.Get();
KernelSize = kernelSize;
Neurons = new ConvolutionNeuron[neuronsCount];
Outputs = new Matrix[neuronsCount];
UseReferences = useReferences;
}
public void Init(int inputWidth, int inputHeight, int?outsPerNeuron)
{
OutputWidht = inputWidth - KernelSize + 1;
OutputHeight = inputHeight - KernelSize + 1;
for (var i = 0; i < NeuronsCount; i++)
{
int?parentNeuron = null;
if (UseReferences)
{
parentNeuron = outsPerNeuron.HasValue && outsPerNeuron.Value > 0 ? i / outsPerNeuron : 0;
}
Neurons[i] = new ConvolutionNeuron(_function, inputWidth, inputHeight, KernelSize, parentNeuron);
}
}
