db/dc4/NeuralNetwork_8hpp_source.html

 #pragma once


 #include "Net.hpp"

 #include "TrainingData.hpp"


 class NeuralNetwork {

 private:

     std::vector<unsigned> topology;

     Net myNet;

     std::vector<double> inputVals;

     std::vector<double> targetVals;

     std::vector<double> resultVals;

     int trainingPass = 0;


 public:

     NeuralNetwork() = default;


     void loadTogology(const std::vector<unsigned>& topology);


     void Run(std::vector<double>& inputVals, std::vector<double>& targetVals, std::vector<double>& resultVals);


     std::vector<double> RunWithReturn(std::vector<double>& inputVals, std::vector<double>& targetVals, std::vector<double>& resultVals);

 };

Net.hpp
Defines the Net class for a neural network.

TrainingData.hpp
Declares the TrainingData class, which is responsible for reading and parsing training data from a fi...

Net
Represents a neural network composed of layers of neurons.
Definition: Net.hpp:28

NeuralNetwork
Manages a neural network's structure, data, and training process.
Definition: NeuralNetwork.hpp:22

NeuralNetwork::loadTogology
void loadTogology(const std::vector< unsigned > &topology)
Loads the topology of the neural network.
Definition: NeuralNetwork.cpp:19

NeuralNetwork::RunWithReturn
std::vector< double > RunWithReturn(std::vector< double > &inputVals, std::vector< double > &targetVals, std::vector< double > &resultVals)
Runs the network with input and target values, and returns the result.
Definition: NeuralNetwork.cpp:57

NeuralNetwork::Run
void Run(std::vector< double > &inputVals, std::vector< double > &targetVals, std::vector< double > &resultVals)
Runs a single training pass through the network.
Definition: NeuralNetwork.cpp:33

NeuralNetwork::NeuralNetwork
NeuralNetwork()=default
Default constructor for the NeuralNetwork class.