diff --git a/src/cnn/free.c b/src/cnn/free.c
index 9b95396..c7a7440 100644
--- a/src/cnn/free.c
+++ b/src/cnn/free.c
@@ -100,6 +100,6 @@ void free_network_lenet5(Network* network) {
     free_convolution(network, 0);
     free_network_creation(network);
     if (network->size != network->max_size) {
-        printf("Attention, le réseau LeNet5 n'est pas complet");
+        printf("033[33;1m[WARNING]\033[0m Le réseau LeNet5 est incomplet");
     }
 }
diff --git a/src/cnn/include/initialisation.h b/src/cnn/include/initialisation.h
index a6cf196..837f20d 100644
--- a/src/cnn/include/initialisation.h
+++ b/src/cnn/include/initialisation.h
@@ -13,21 +13,21 @@
 /*
 * Initialise une matrice 1d rows de float en fonction du type d'initialisation
 */
-void initialisation_1d_matrix(int initialisation, float* matrix, int rows, int n); //NOT FINISHED (UNIFORM AND VARIATIONS)
+void initialisation_1d_matrix(int initialisation, float* matrix, int rows, int n); // TODO (UNIFORM AND VARIATIONS)
 
 /*
 * Initialise une matrice 2d rows*columns de float en fonction du type d'initialisation
 */
-void initialisation_2d_matrix(int initialisation, float** matrix, int rows, int columns, int n); //NOT FINISHED
+void initialisation_2d_matrix(int initialisation, float** matrix, int rows, int columns, int n); // TODO
 
 /*
 * Initialise une matrice 3d depth*dim*columns de float en fonction du type d'initialisation
 */
-void initialisation_3d_matrix(int initialisation, float*** matrix, int depth, int rows, int columns, int n); //NOT FINISHED
+void initialisation_3d_matrix(int initialisation, float*** matrix, int depth, int rows, int columns, int n); // TODO
 
 /*
 * Initialise une matrice 4d rows*columns*rows1*columns1 de float en fonction du type d'initialisation
 */
-void initialisation_4d_matrix(int initialisation, float**** matrix, int rows, int columns, int rows1, int columns1, int n); //NOT FINISHED
+void initialisation_4d_matrix(int initialisation, float**** matrix, int rows, int columns, int rows1, int columns1, int n); // TODO
 
 #endif
\ No newline at end of file
diff --git a/src/cnn/include/main.h b/src/cnn/include/main.h
index d194359..397e000 100644
--- a/src/cnn/include/main.h
+++ b/src/cnn/include/main.h
@@ -22,7 +22,7 @@ void forward_propagation(Network* network);
 /*
 * Propage en arrière le cnn
 */
-void backward_propagation(Network* network, float wanted_number); //NOT FINISHED
+void backward_propagation(Network* network, float wanted_number); // TODO
 
 /*
 * Renvoie l'erreur du réseau neuronal pour une sortie
diff --git a/src/cnn/initialisation.c b/src/cnn/initialisation.c
index 10ff3ed..fa4ad09 100644
--- a/src/cnn/initialisation.c
+++ b/src/cnn/initialisation.c
@@ -3,7 +3,8 @@
 #include "include/initialisation.h"
 
 
-void initialisation_1d_matrix(int initialisation, float* matrix, int rows, int n) { //NOT FINISHED
+void initialisation_1d_matrix(int initialisation, float* matrix, int rows, int n) { // TODO
+    printf("\033[33;1m[WARNING]\033[0m Appel de initialisation_1d_matrix, incomplet\n");
     float lower_bound = -6/sqrt((double)n);
     float distance = -lower_bound-lower_bound;
     for (int i=0; i < rows; i++) {
@@ -11,7 +12,8 @@ void initialisation_1d_matrix(int initialisation, float* matrix, int rows, int n
     }
 }
 
-void initialisation_2d_matrix(int initialisation, float** matrix, int rows, int columns, int n) { //NOT FINISHED
+void initialisation_2d_matrix(int initialisation, float** matrix, int rows, int columns, int n) { // TODO
+    printf("\033[33;1m[WARNING]\033[0m Appel de initialisation_2d_matrix, incomplet\n");
     float lower_bound = -6/sqrt((double)n);
     float distance = -lower_bound-lower_bound;
     for (int i=0; i < rows; i++) {
@@ -21,7 +23,8 @@ void initialisation_2d_matrix(int initialisation, float** matrix, int rows, int
     }
 }
 
-void initialisation_3d_matrix(int initialisation, float*** matrix, int depth, int rows, int columns, int n) { //NOT FINISHED
+void initialisation_3d_matrix(int initialisation, float*** matrix, int depth, int rows, int columns, int n) { // TODO
+    printf("\033[33;1m[WARNING]\033[0m Appel de initialisation_3d_matrix, incomplet\n");
     float lower_bound = -6/sqrt((double)n);
     float distance = -lower_bound-lower_bound;
     for (int i=0; i < depth; i++) {
@@ -33,7 +36,8 @@ void initialisation_3d_matrix(int initialisation, float*** matrix, int depth, in
     }
 }
 
-void initialisation_4d_matrix(int initialisation, float**** matrix, int rows, int columns, int rows1, int columns1, int n) { //NOT FINISHED
+void initialisation_4d_matrix(int initialisation, float**** matrix, int rows, int columns, int rows1, int columns1, int n) { // TODO
+    printf("\033[33;1m[WARNING]\033[0m Appel de initialisation_4d_matrix, incomplet\n");
     float lower_bound = -6/sqrt((double)n);
     float distance = -lower_bound-lower_bound;
     for (int i=0; i < rows; i++) {
diff --git a/src/cnn/main.c b/src/cnn/main.c
index 0b74aef..a93500a 100644
--- a/src/cnn/main.c
+++ b/src/cnn/main.c
@@ -2,7 +2,7 @@
 #include <stdio.h>
 #include <math.h>
 #include <float.h>
-#include "initialisation.c"
+#include "include/initialisation.h"
 #include "function.c"
 #include "creation.c"
 #include "make.c"
@@ -78,7 +78,8 @@ void forward_propagation(Network* network) {
     }
 }
 
-void backward_propagation(Network* network, float wanted_number) {
+void backward_propagation(Network* network, float wanted_number) { // TODO
+    printf("\033[33;1m[WARNING]\033[0m Appel de backward_propagation, incomplet\n");
     float* wanted_output = generate_wanted_output(wanted_number);
     int n = network->size-1;
     float loss = compute_cross_entropy_loss(network->input[n][0][0], wanted_output, network->width[n]);
diff --git a/src/cnn/make.c b/src/cnn/make.c
index 1f57d54..94803e8 100644
--- a/src/cnn/make.c
+++ b/src/cnn/make.c
@@ -2,7 +2,8 @@
 #include "include/make.h"
 
 void make_convolution(float*** input, Kernel_cnn* kernel, float*** output, int output_dim) {
-    //NOT FINISHED, MISS CONDITIONS ON THE CONVOLUTION
+    // TODO, MISS CONDITIONS ON THE CONVOLUTION
+    printf("\033[33;1m[WARNING]\033[0m Appel de make_convolution, incomplet\n");
     float f;
     int n = kernel->k_size;
     printf("Convolution output: %dx%dx%d, %dx%dx%d\n", kernel->columns, output_dim, output_dim, kernel->rows, n, n);
@@ -25,7 +26,8 @@ void make_convolution(float*** input, Kernel_cnn* kernel, float*** output, int o
 }
 
 void make_average_pooling(float*** input, float*** output, int size, int output_depth, int output_dim) {
-    //NOT FINISHED, MISS CONDITIONS ON THE POOLING
+    // TODO, MISS CONDITIONS ON THE POOLING
+    printf("\033[33;1m[WARNING]\033[0m Appel de make_average_pooling, incomplet\n");
     float average;
     int n = size*size;
     for (int i=0; i < output_depth; i++) {