layer.h

<code cpp>
#ifndef __SHAREWIZ_LAYER_H__
#define __SHAREWIZ_LAYER_H__

#include <memory>
#include <vector>

//#include "neuron.h"

// Layer class.
//
// A Neural Network can have multiple Layers.

class Layer;
class Neuron;


typedef std::shared_ptr<Layer> pLayerX;
typedef std::vector<pLayerX> pLayer;

typedef std::shared_ptr<Neuron> pNeuronX;
typedef std::vector<pNeuronX> pNeuron;



class Layer
{
private:
	int index;
  double global_bias = 0.0;            // From the NET.  A global bias value to add to every layer.

	pNeuron neurons;

public:
	Layer();
	Layer(unsigned int num_neurons);

	unsigned int getSize(void);  // Returns how many neurons.

	int getIndex(void);
	void setIndex(const int& index);

  double getGlobalBias(void);
  void setGlobalBias(const double& _global_bias);
  
  void addNeuron(const pNeuronX& n);
	void removeNeuron(const int& idx);

	pNeuronX& getNeuron(const int& idx);

	void feedForward(const pLayerX& prevLayer);

	void printOutput(void);
};


#endif
</code>