public NeuralNetworkLineImage Image()
{
var images = new NeuralNetworkImage[chista_nets.Length];
for (int b = 0; b < chista_nets.Length; b++)
{
images[b] = chista_nets[b].Image();
}
return(new NeuralNetworkLineImage(images, combiners, index));
}
private NeuralNetworkImage CloseCurrentImage()
{
var image = new NeuralNetworkImage(
layers.ToArray(),
error_func, in_cvrt, out_cvrt, regularization);
last_layer_input_count = 0;
layers = null;
error_func = null;
in_cvrt = out_cvrt = null;
regularization = null;
return(image);
}
public IChistaNet ChistaNet(double learning, double certainty, double dropout)
{
var image = Image();
return(image switch
{
NeuralNetworkImage simple_image =>
new ChistaNet(simple_image)
{
LearningFactor = learning,
CertaintyFactor = certainty,
DropoutFactor = dropout
},
NeuralNetworkLineImage line_image =>
new ChistaNetLine(line_image)
{
LearningFactor = learning,
CertaintyFactor = certainty,
DropoutFactor = dropout
},
_ => throw new Exception("Invalid chista-net type"),
});
