public void DisplayConnections(int neuronIndex, int currentLayer, UINeuralNetLayerPanel nextLayer, bool biasLayer)
{
Image dummyWeight = Weights[0];
dummyWeight.gameObject.SetActive(true);
for (int i = Weights.Count; i < net.GetNeuronsInLayer(currentLayer + 1); i++)
{
if (biasLayer && i == net.GetNeuronsInLayer(currentLayer + 1) - 1)
{
}
else
{
Image newWeight = Instantiate(dummyWeight);
newWeight.transform.SetParent(this.transform, false);
Weights.Add(newWeight);
}
}
for (int i = this.Weights.Count - 1; i >= net.GetNeuronsInLayer(currentLayer + 1); i++)
{
Image toBeDestroyed = Weights[i];
Weights.RemoveAt(i);
Destroy(toBeDestroyed);
}
for (int i = 0; i < Weights.Count; i++)
{
float[][][] weights = net.GetWeightsMatrix();
PositionConnection(Weights[i], nextLayer.Nodes[i], neuronIndex, i, weights[currentLayer]);
}
}
public void Display(NeuralNetwork net)
{
UINeuralNetLayerPanel dummyLayer = Layers[0];
for (int i = Layers.Count; i < net.GetLayers().Length; i++)
{
UINeuralNetLayerPanel newPanel = Instantiate(dummyLayer);
newPanel.transform.SetParent(this.transform, false);
Layers.Add(newPanel);
}
for (int i = this.Layers.Count - 1; i >= net.GetLayers().Length; i++)
{
UINeuralNetLayerPanel toBeDestroyed = Layers[i];
Layers.RemoveAt(i);
Destroy(toBeDestroyed);
}
for (int i = 0; i < this.Layers.Count - 1; i++)
{
this.Layers[i].SetNeuralNet(net);
int[] layers = net.GetLayers();
this.Layers[i].Display(i, true);
}
this.Layers[Layers.Count - 1].SetNeuralNet(net);
this.Layers[Layers.Count - 1].Display(net.GetLayers().Length - 1, false);
StartCoroutine(DrawConnections(net));
}
public void DisplayConnections(int currentLayer, UINeuralNetLayerPanel nextLayer, bool biasLayer)
{
for (int i = 0; i < Nodes.Count; i++)
{
Nodes[i].SetNeuralNet(net);
Nodes[i].DisplayConnections(i, currentLayer, nextLayer, biasLayer);
}
}
