edit chatbot and core

Xenith/core.h

@@ -4,25 +4,22 @@
 #include "typedef.h"
 #include <vector>
 #include <cmath>
-#include <iostream>
-#include <cstdlib>
 
 class NeuralNetwork {
 private:
     int numLayers;
-    std::vector<int> layerSizes;
-    std::vector<std::vector<std::vector<double>>> weights; // weights[layer][to_node][from_node]
-    std::vector<std::vector<double>> biases;             // biases[layer][node]
-    std::vector<std::vector<double>> outputs;            // Храним выходы слоев для backprop
+    std::vector<int> sizes;
+    std::vector<std::vector<std::vector<double>>> weights;
+    std::vector<std::vector<double>> biases;
+    std::vector<std::vector<double>> outputs;
 
     double sigmoid(double x) { return 1.0 / (1.0 + exp(-x)); }
-    double sigmoidDerivative(double x) { return x * (1.0 - x); }
+    double sigmoidDeriv(double x) { return x * (1.0 - x); }
 
 public:
     NeuralNetwork(LayerStructure_t layers[], int count);
-    
-    std::vector<double> feedForward(std::vector<double> input);
-    void train(std::vector<double> input, std::vector<double> target, double learningRate);
+    std::vector<double> feedForward(const std::vector<double>& input);
+    double train(const std::vector<double>& input, const std::vector<double>& target, double lr);
 };
 
 #endif