diff --git a/src/mnist/main.c b/src/mnist/main.c
index 24fafbd..06ec50a 100644
--- a/src/mnist/main.c
+++ b/src/mnist/main.c
@@ -64,6 +64,8 @@ void help(char* call) {
     printf("\t\t--labels  | -l [FILENAME]\tFichier contenant les labels.\n");
     printf("\t\t--out     | -o [FILENAME]\tFichier où écrire le réseau de neurones.\n");
     printf("\t\t--delta   | -d [FILENAME]\tFichier où écrire le réseau différentiel.\n");
+    printf("\t\t--nb-images | -N [int]\tNombres d'images à traiter.\n");
+    printf("\t\t--start   | -s [int]\tPremière image à traiter.\n");
     printf("\trecognize:\n");
     printf("\t\t--modele  | -m [FILENAME]\tFichier contenant le réseau de neurones.\n");
     printf("\t\t--in      | -i [FILENAME]\tFichier contenant les images à reconnaître.\n");
@@ -120,7 +122,7 @@ void* train_images(void* parameters) {
 }
 
 
-void train(int epochs, int layers, int neurons, char* recovery, char* image_file, char* label_file, char* out, char* delta) {
+void train(int epochs, int layers, int neurons, char* recovery, char* image_file, char* label_file, char* out, char* delta, int nb_images_to_process, int start) {
     // Entraînement du réseau sur le set de données MNIST
     Network* network;
     Network* delta_network;
@@ -172,6 +174,10 @@ void train(int epochs, int layers, int neurons, char* recovery, char* image_file
     int*** images = read_mnist_images(image_file);
     unsigned int* labels = read_mnist_labels(label_file);
 
+    if (nb_images_to_process != -1) {
+        nb_images_total = nb_images_to_process;
+    }
+
     TrainParameters** train_parameters = (TrainParameters**)malloc(sizeof(TrainParameters*)*nb_threads);
     for (int i=0; i < epochs; i++) {
         accuracy = 0.;
@@ -184,7 +190,7 @@ void train(int epochs, int layers, int neurons, char* recovery, char* image_file
                 train_parameters[j]->images = (int***)images;
                 train_parameters[j]->labels = (int*)labels;
                 train_parameters[j]->nb_images = BATCHES / nb_threads;
-                train_parameters[j]->start = nb_images_total - BATCHES*(nb_images_total / BATCHES - k -1) - nb_remaining_images;
+                train_parameters[j]->start = nb_images_total - BATCHES*(nb_images_total / BATCHES - k -1) - nb_remaining_images + start;
                 train_parameters[j]->height = height;
                 train_parameters[j]->width = width;
 
@@ -327,6 +333,8 @@ int main(int argc, char* argv[]) {
         int epochs = EPOCHS;
         int layers = 2;
         int neurons = 784;
+        int nb_images = -1;
+        int start = 0;
         char* images = NULL;
         char* labels = NULL;
         char* recovery = NULL;
@@ -360,6 +368,12 @@ int main(int argc, char* argv[]) {
             } else if ((! strcmp(argv[i], "--delta"))||(! strcmp(argv[i], "-d"))) {
                 delta = argv[i+1];
                 i += 2;
+            } else if ((! strcmp(argv[i], "--nb-images"))||(! strcmp(argv[i], "-N"))) {
+                nb_images = strtol(argv[i+1], NULL, 10);
+                i += 2;
+            } else if ((! strcmp(argv[i], "--start"))||(! strcmp(argv[i], "-s"))) {
+                start = strtol(argv[i+1], NULL, 10);
+                i += 2;
             } else {
                 printf("%s : Argument non reconnu\n", argv[i]);
                 i++;
@@ -378,7 +392,7 @@ int main(int argc, char* argv[]) {
             out = "out.bin";
         }
         // Entraînement en sourçant neural_network.c
-        train(epochs, layers, neurons, recovery, images, labels, out, delta);
+        train(epochs, layers, neurons, recovery, images, labels, out, delta, nb_images, start);
         exit(0);
     }
     if (! strcmp(argv[1], "recognize")) {