class NeuralNetwork
{

public:
	//Member_Variables
	bool		 m_init			 = false;
	NeuronLayer *m_inputs		 = nullptr;
	NeuronLayer *m_hiddenLayers	 = nullptr;
	NeuronLayer *m_outputs		 = nullptr;
	//Static_Member_Variables

	//Methods
	NeuralNetwork();
	NeuralNetwork(int numberOfInputNeuron,int numberOfHiidenNeurons,int numberOfOutputNeuron);
	~NeuralNetwork();

	int					 GetNumberOfInputs();
	int					 GetNumberOfHiddenLayerNeuron();
	int					 GetNumberOfOutputs();

	void				 SetRandomWeight();
	void				 CreateNeuralNetwork(int numberOfInputNeuron, int numberOfHiidenNeurons, int numberOfOutputNeuron);
	void				 FeedForward(std::vector &inputs);
	void				 DoBackPropogation(std::vector &knownOutputs);
	void				 TrainHiddenOutputLayer(std::vector &outputErrors);
	void				 TrainInputHiddenLayer(std::vector &outputErrors);
	float				 GetSumOfWeightsInHiddenLayer(int outputIndex);
	void				 GetOutputs();
	void				 Update();
	float				 GetActivationValue(float value);
	float				 GetFastSigmoidValue(float value);
	float				 GetFastSigmoidDerivative(float value);
	float				 GetSigmoidValue(float value);
	void				 Mutate();
	bool				 CopyWeightsTo(NeuralNetwork &copy);
	void				 CrossOver(NeuralNetwork &second);
	void				 StoreToFile(const char* filePathname);
	void				 LoadFromFile(const char* filePath);
}