diff --git a/src/cnn/include/train.h b/src/cnn/include/train.h
index f9901e5..5e15e7e 100644
--- a/src/cnn/include/train.h
+++ b/src/cnn/include/train.h
@@ -23,6 +23,8 @@ typedef struct TrainParameters {
     int nb_images; // Nombre d'images à traiter
     float accuracy; // Accuracy (à renvoyer)
     float loss; // Loss (à renvoyer)
+
+    bool offset; // Décalage aléatoire de l'image
 } TrainParameters;
 
 /*
@@ -52,6 +54,6 @@ void* train_thread(void* parameters);
 /*
  * Fonction principale d'entraînement du réseau neuronal convolutif
 */
-void train(int dataset_type, char* images_file, char* labels_file, char* data_dir, int epochs, char* out, char* recover);
+void train(int dataset_type, char* images_file, char* labels_file, char* data_dir, int epochs, char* out, char* recover, bool with_offset);
 
 #endif
\ No newline at end of file
diff --git a/src/cnn/main.c b/src/cnn/main.c
index 7375b1d..4932560 100644
--- a/src/cnn/main.c
+++ b/src/cnn/main.c
@@ -24,6 +24,7 @@ void help(char* call) {
     printf("\t\t--dataset | -d (mnist|jpg)\tFormat du set de données.\n");
     printf("\t(mnist)\t--images  | -i [FILENAME]\tFichier contenant les images.\n");
     printf("\t(mnist)\t--labels  | -l [FILENAME]\tFichier contenant les labels.\n");
+    printf("\t(mnist)\t--no-offset              \tDésactiver le décalage aléatoire des images.\n");
     printf("\t (jpg) \t--datadir | -dd [FOLDER]\tDossier contenant les images.\n");
     printf("\t\t--recover | -r [FILENAME]\tRécupérer depuis un modèle existant.\n");
     printf("\t\t--epochs  | -e [int]\t\tNombre d'époques.\n");
@@ -38,6 +39,7 @@ void help(char* call) {
     printf("\t\t--dataset | -d (mnist|jpg)\tFormat du set de données.\n");
     printf("\t(mnist)\t--images  | -i [FILENAME]\tFichier contenant les images.\n");
     printf("\t(mnist)\t--labels  | -l [FILENAME]\tFichier contenant les labels.\n");
+    printf("\t(mnist)\t--no-offset              \tDésactiver le décalage aléatoire des images.\n");
     printf("\t (jpg) \t--datadir | -dd [FOLDER]\tDossier contenant les images.\n");
     printf("\t\t--preview-fails | -p\t\tAfficher les images ayant échoué.\n");
 }
@@ -59,6 +61,7 @@ int main(int argc, char* argv[]) {
         int dataset_type = 0;
         char* out = NULL;
         char* recover = NULL;
+        bool offset = true;
         int i = 2;
         while (i < argc) {
             if ((! strcmp(argv[i], "--dataset"))||(! strcmp(argv[i], "-d"))) {
@@ -87,6 +90,9 @@ int main(int argc, char* argv[]) {
             } else if ((! strcmp(argv[i], "--recover"))||(! strcmp(argv[i], "-r"))) {
                 recover = argv[i+1];
                 i += 2;
+            } else if (! strcmp(argv[i], "--no-offset")) {
+                offset = false;
+                i++;
             } else {
                 printf_warning("Option choisie inconnue: ");
                 printf("%s\n", argv[i]);
@@ -119,7 +125,7 @@ int main(int argc, char* argv[]) {
             printf("Pas de fichier de sortie spécifié, défaut: out.bin\n");
             out = "out.bin";
         }
-        train(dataset_type, images_file, labels_file, data_dir, epochs, out, recover);
+        train(dataset_type, images_file, labels_file, data_dir, epochs, out, recover, offset);
         return 0;
     }
     if (! strcmp(argv[1], "test")) {
@@ -130,33 +136,32 @@ int main(int argc, char* argv[]) {
         char* data_dir = NULL; // Dossier d'images (jpg)
         int dataset_type; // Type de dataset (0 pour mnist, 1 pour jpg)
         bool preview_fails = false;
+        bool offset = true;
+
         int i = 2;
         while (i < argc) {
             if ((! strcmp(argv[i], "--dataset"))||(! strcmp(argv[i], "-d"))) {
                 dataset = argv[i+1];
                 i += 2;
-            }
-            else if ((! strcmp(argv[i], "--modele"))||(! strcmp(argv[i], "-m"))) {
+            } else if ((! strcmp(argv[i], "--modele"))||(! strcmp(argv[i], "-m"))) {
                 modele = argv[i+1];
                 i += 2;
-            }
-            else if ((! strcmp(argv[i], "--images"))||(! strcmp(argv[i], "-i"))) {
+            } else if ((! strcmp(argv[i], "--images"))||(! strcmp(argv[i], "-i"))) {
                 images_file = argv[i+1];
                 i += 2;
-            }
-            else if ((! strcmp(argv[i], "--labels"))||(! strcmp(argv[i], "-l"))) {
+            } else if ((! strcmp(argv[i], "--labels"))||(! strcmp(argv[i], "-l"))) {
                 labels_file = argv[i+1];
                 i += 2;
-            }
-            else if ((! strcmp(argv[i], "--datadir"))||(! strcmp(argv[i], "-dd"))) {
+            } else if ((! strcmp(argv[i], "--datadir"))||(! strcmp(argv[i], "-dd"))) {
                 data_dir = argv[i+1];
                 i += 2;
-            }
-            else if ((! strcmp(argv[i], "--preview-fails"))||(! strcmp(argv[i], "-p"))) {
+            } else if ((! strcmp(argv[i], "--preview-fails"))||(! strcmp(argv[i], "-p"))) {
                 preview_fails = true;
                 i++;
-            }
-            else {
+            } else if (! strcmp(argv[i], "--no-offset")) {
+                offset = false;
+                i++;
+            } else {
                 printf_warning("Option choisie inconnue: ");
                 printf("%s\n", argv[i]);
                 i++;
@@ -189,7 +194,7 @@ int main(int argc, char* argv[]) {
             printf_error("Pas de modèle à utiliser spécifié.\n");
             return 1;
         }
-        (void)test_network(dataset_type, modele, images_file, labels_file, data_dir, preview_fails, true, false);
+        (void)test_network(dataset_type, modele, images_file, labels_file, data_dir, preview_fails, true, offset);
         return 0;
     }
     if (! strcmp(argv[1], "recognize")) {
@@ -203,16 +208,13 @@ int main(int argc, char* argv[]) {
             if ((! strcmp(argv[i], "--dataset"))||(! strcmp(argv[i], "-d"))) {
                 dataset = argv[i+1];
                 i += 2;
-            }
-            else if ((! strcmp(argv[i], "--modele"))||(! strcmp(argv[i], "-m"))) {
+            } else if ((! strcmp(argv[i], "--modele"))||(! strcmp(argv[i], "-m"))) {
                 modele = argv[i+1];
                 i += 2;
-            }
-            else if ((! strcmp(argv[i], "--out"))||(! strcmp(argv[i], "-o"))) {
+            } else if ((! strcmp(argv[i], "--out"))||(! strcmp(argv[i], "-o"))) {
                 out = argv[i+1];
                 i += 2;
-            }
-            else if ((! strcmp(argv[i], "--input"))||(! strcmp(argv[i], "-i"))) {
+            } else if ((! strcmp(argv[i], "--input"))||(! strcmp(argv[i], "-i"))) {
                 input_file = argv[i+1];
                 i += 2;
             } else {
@@ -225,18 +227,20 @@ int main(int argc, char* argv[]) {
             dataset_type = 0;
         } else if ((dataset!=NULL) && !strcmp(dataset, "jpg")) {
             dataset_type = 1;
-        }
-        else {
+        } else {
             printf_error("Pas de type de dataset spécifié.\n");
             return 1;
         }
+
         if (!input_file) {
             printf_error("Pas de fichier d'entrée spécifié, rien à faire.\n");
             return 1;
         }
+
         if (!out) {
             out = "text";
         }
+        
         if (!modele) {
             printf_error("Pas de modèle à utiliser spécifié.\n");
             return 1;
diff --git a/src/cnn/train.c b/src/cnn/train.c
index 0d7f6d3..b04c599 100644
--- a/src/cnn/train.c
+++ b/src/cnn/train.c
@@ -77,7 +77,7 @@ void* train_thread(void* parameters) {
 
     for (int i=start;  i < start+nb_images; i++) {
         if (dataset_type == 0) {
-            write_image_in_network_32(images[index[i]], height, width, network->input[0][0], true);
+            write_image_in_network_32(images[index[i]], height, width, network->input[0][0], param->offset);
 
             #ifdef DETAILED_TRAIN_TIMINGS
                 start_time = omp_get_wtime();
@@ -170,7 +170,7 @@ void* train_thread(void* parameters) {
 }
 
 
-void train(int dataset_type, char* images_file, char* labels_file, char* data_dir, int epochs, char* out, char* recover) {
+void train(int dataset_type, char* images_file, char* labels_file, char* data_dir, int epochs, char* out, char* recover, bool offset) {
     #ifdef USE_CUDA
     bool compatibility = cuda_setup(true);
     if (!compatibility) {
@@ -288,6 +288,7 @@ void train(int dataset_type, char* images_file, char* labels_file, char* data_di
             param->nb_images = BATCHES / nb_threads;
             param->index = shuffle_index;
             param->network = copy_network(network);
+            param->offset = offset;
         }
     #else
         // Création des paramètres donnés à l'unique
@@ -313,6 +314,7 @@ void train(int dataset_type, char* images_file, char* labels_file, char* data_di
         }
         train_params->nb_images = BATCHES;
         train_params->index = shuffle_index;
+        train_params->offset = offset;
     #endif
 
     end_time = omp_get_wtime();
@@ -432,7 +434,7 @@ void train(int dataset_type, char* images_file, char* labels_file, char* data_di
         write_network(out, network);
         // If you want to test the network between each epoch, uncomment the following lines:
         /*
-        float* test_results = test_network(0, out, "data/mnist/t10k-images-idx3-ubyte", "data/mnist/t10k-labels-idx1-ubyte", NULL, false, false, true);
+        float* test_results = test_network(0, out, "data/mnist/t10k-images-idx3-ubyte", "data/mnist/t10k-labels-idx1-ubyte", NULL, false, false, offset);
         printf("Tests: Accuracy: %0.2lf%%\tLoss: %lf\n", test_results[0], test_results[1]);
         if (test_results[0] < test_accuracy) {
             network->learning_rate *= 0.1;
@@ -444,10 +446,6 @@ void train(int dataset_type, char* images_file, char* labels_file, char* data_di
         }
         test_accuracy = test_results[0];
         free(test_results);
-
-        test_results = test_network(0, out, "data/mnist/t10k-images-idx3-ubyte", "data/mnist/t10k-labels-idx1-ubyte", NULL, false, false, false);
-        printf("Tests sans offset: Accuracy: %0.2lf%%\tLoss: %lf\n", test_results[0], test_results[1]);
-        free(test_results);
         */
     }