From b4c345e6a5fa929ba20eac19183b9c777055f52d Mon Sep 17 00:00:00 2001
From: Gaspard Coulet <gaspard.coulet@mines-ales.org>
Date: Wed, 28 Apr 2021 23:12:36 +0200
Subject: Initial commit

---
 Reseau/Reseau.h | 30 ++++++++++++++++++++++++++++++
 1 file changed, 30 insertions(+)
 create mode 100644 Reseau/Reseau.h

(limited to 'Reseau/Reseau.h')

diff --git a/Reseau/Reseau.h b/Reseau/Reseau.h
new file mode 100644
index 0000000..fe3a7db
--- /dev/null
+++ b/Reseau/Reseau.h
@@ -0,0 +1,30 @@
+#ifndef _RESEAU_H_
+#define _RESEAU_H_
+#include<vector>
+#include"../Neurone/Neurone.h"
+#include"../Common/fonctions.h"
+#include"../Layer/InputLayer.h"
+
+class Reseau{
+private:
+  std::vector<double>input;
+  std::vector<double>output;
+  std::vector<std::vector<std::vector<double> > > dsig;
+  std::vector<std::vector<std::vector<double> > > dact;
+  std::vector<std::vector<std::vector<double> > > derrdact;
+  std::vector<Layer*> reseau; //Vector containing all the layers (input/hide/output)
+  double eta;
+  double k;
+  int nbLayers;	//indicating the number of layers you want;
+ public:
+  //Contructor
+  Reseau(int,std::vector<int>,double,double,FonctionActivation::EnumFonctionActivation fct); //A Network is a vector composed of Layers
+
+
+  //Methods
+  std::vector<double> fire_all(std::vector<double> input);
+  void learn(std::vector<std::vector<std::vector<double> > > jeuxTest, unsigned int nbPasDescenteGradient);
+  void backPropagation(std::vector<double> erreurs);
+  void printWeight();
+};
+#endif
-- 
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