private void CopyLayerSizes(NeuralNetworkCompact deepCopyBlueprint)
{
for (int i = 0; i < layerSizes.Length; i++)
{
layerSizes[i] = deepCopyBlueprint.layerSizes[i];
}
}
public NeuralNetworkCompact(NeuralNetworkCompact deepCopyBlueprint)
{
mutationChance = deepCopyBlueprint.mutationChance;
maxFlatMutation = deepCopyBlueprint.maxFlatMutation;
layerSizes = new int[deepCopyBlueprint.layerSizes.Length];
CopyLayerSizes(deepCopyBlueprint);
neurons = new float[layerSizes.Length][];
weights = new float[layerSizes.Length][][];
InitNeurons();
CopyWeights(deepCopyBlueprint);
}
private void CopyWeights(NeuralNetworkCompact deepCopyBlueprint)
{
for (int layerIndex = 1; layerIndex < layerSizes.Length; layerIndex++)
{
weights[layerIndex] = new float[layerSizes[layerIndex]][];
for (int neuronIndex = 0; neuronIndex < layerSizes[layerIndex]; neuronIndex++)
{
weights[layerIndex][neuronIndex] = new float[layerSizes[layerIndex - 1]];
for (int weightIndex = 0; weightIndex < layerSizes[layerIndex - 1]; weightIndex++)
{
weights[layerIndex][neuronIndex][weightIndex] = deepCopyBlueprint.weights[layerIndex][neuronIndex][weightIndex];
}
}
}
}