private void ConnectPipesToLayersOutputs(ICollection <IPipe> inp, ConvolutionNeuralLayer layer)
{
for (var index = 0; index < layer.Count; index++)
{
layer.ElementAt(index).setOutput(inp.OffsetCenteredWrappedSubset(index, ConnectionsPerNeuron).First());
}
}
public ConvolutionNeuralNetwork Construct(ICollection <IPipe> inp, ICollection <IPipe> outp)
{
ConnectionsPerNeuron = (int)Math.Floor(cells * interconectivity);// the number of neurons each cell connects to in the prevoyus layer
ConvolutionNeuralNetwork net = new ConvolutionNeuralNetwork();
for (int l = 0; l < layers; l++)
{
var layer = new ConvolutionNeuralLayer();
var inputs = new IPipe[] { new IPipe() };
layer.Fill(() => new ConvolutionNeuron(inputs, new IPipe()), cells);
if (l == 0)
{
ConnectPipesToLayersInputs(inp, layer);
}
else if (l == layers - 1)
{
ConnectPipesToLayersOutputs(outp, layer);
}
else
{
ConnectPipesToLayersInputs(net.ElementAt(l - 1).getOutput(), layer);
}
net.AddLast(layer);
}
return(net);
}
