public void GetInputer(string Type, string Name, object Value)
{
CachePool.I().GetObject("Prefabs/Content/" + Type, (obj) =>
{
obj.transform.SetParent(ContentParent, false);
Inputer inputer = obj.GetComponent <Inputer>();
inputer.SetLabel(Name);
inputer.SetValue(Value);
BaseInputer.Add(Name, inputer);
});
}
private void construct(NeuronData[][] neurons)
{
Inputer bias_inputer = new Inputer();
bias_inputer.value = 1;
bias = new Neuron(new Neuron.activation_functions.activation_function_type(bias_inputer.call));
layers = new Neuron[neurons.Length][];
//the first layer
inputers = new Inputer[neurons[0].Length];
layers[0] = new Neuron[inputers.Length];
for (int j = 0; j < inputers.Length; j++)
{
inputers[j] = new Inputer();
Neuron neuron = new Neuron(new Neuron.activation_functions.activation_function_type(inputers[j].call));
layers[0][j] = neuron;
neuron.children_count = Convert.ToUInt32(neurons[1].Length);
}
//rest of layers
uint children_count = 0;
for (int i = 1; i < neurons.Length; i++)
{
layers[i] = new Neuron[neurons[i].Length];
if (i + 1 < neurons.Length)
{
children_count = Convert.ToUInt32(neurons[i + 1].Length);
}
else
{
children_count = 0;
}
for (int j = 0; j < neurons[i].Length; j++)
{
Neuron neuron = new Neuron();
layers[i][j] = neuron;
neuron.children_count = children_count;
for (int k = 0; k < neurons[i - 1].Length; k++)
{
neuron.add_parent(layers[i - 1][k], neurons[i][j].weights[k]);
}
neuron.add_parent(bias, 1);
}
}
}
public void Init()
{
_inputer = new Inputer(".xsd");
}
