/// <summary>
/// 运行神经网络
/// </summary>
/// <param name="T">输入数据</param>
/// <returns>输出Output层的输出</returns>
public Tensor RunNetwork(Tensor T)
{
Tensor data = T;
string link = "Input";
for (int i = 0; i < Structure.Count; i++)
{
Layer <Tensor, LayerWB> layer = Structure[link];
data = layer.Function(data);
link = layer.LinkLayerName;
}
return(data);
}
public Tensor RunForVariable(Tensor T, int LayerNumber)
{
Tensor data = T;
string link = "Input";
for (int i = 0; i < Structure.Count; i++)
{
Layer <Tensor, LayerWB> layer = Structure[link];
data = layer.Function(data);
if (layer.LayerNumber == LayerNumber)
{
return(data);
}
link = layer.LinkLayerName;
}
return(data);
}
public List <Tensor> RunNetwork_s(Tensor T)
{
List <Tensor> datas = new List <Tensor>()
{
T
};
string link = "Input";
for (int i = 0; i < Structure.Count; i++)
{
Layer <Tensor, LayerWB> layer = Structure[link];
datas.Add(layer.Function(datas[i]));
link = layer.LinkLayerName;
}
datas.Remove(T);
return(datas);
}