diff --git a/src/cnn/include/print.h b/src/cnn/include/print.h
new file mode 100644
index 0000000..8969760
--- /dev/null
+++ b/src/cnn/include/print.h
@@ -0,0 +1,32 @@
+#ifndef DEF_PRINT_H
+#define DEF_PRINT_H
+
+#include "include/struct.h"
+
+/*
+* Affiche le kernel d'une couche de convolution
+*/
+void print_kernel_cnn(Kernel_cnn* k, int depth_input, int dim_input, int depth_output, int dim_output);
+
+/*
+* Affiche une couche de pooling
+*/
+void print_pooling(int size);
+
+/*
+* Affiche le kernel d'une couche de fully connected
+*/
+void print_kernel_nn(Kernel_nn* k, int size_input, int size_output);
+
+/*
+* Affiche une couche d'input
+*/
+void print_input(float*** input, int depth, int dim);
+
+/*
+* Affiche un cnn. Plus précisément:
+* input, kernel_cnn, kernel_nn, pooling
+*/
+void print_cnn(Network* network);
+
+#endif
\ No newline at end of file
diff --git a/src/cnn/print.c b/src/cnn/print.c
new file mode 100644
index 0000000..8048e6b
--- /dev/null
+++ b/src/cnn/print.c
@@ -0,0 +1,123 @@
+#include <stdio.h>
+#include "include/print.h"
+
+#define print_bar printf("---------------------------\n")
+#define print_space printf("\n")
+#define print_dspace printf("\n\n")
+#define print_tspace printf("\n\n\n")
+#define green printf("\033[0;31m")
+#define red printf("\033[0;32m")
+#define blue printf("\033[0;34m")
+#define purple printf("\033[0;35m")
+#define reset_color printf("\033[0m")
+
+void print_kernel_cnn(Kernel_cnn* k, int depth_input, int dim_input, int depth_output, int dim_output) {
+    int k_size = dim_input - dim_output + 1;
+    // print bias
+    green;
+    for (int i=0; i<depth_output; i++) {
+        for (int j=0; j<dim_output; j++) {
+            for (int k=0; k<dim_output; k++) {
+                printf("%.2f", k->bias[i][j][k]);
+            }
+            print_space;
+        }
+        print_dspace;
+    }
+    print_dspace;
+    reset_color;
+
+    //print weights
+    red;
+    for (int i=0; i<; i++) {
+        printf("------Line %d-----\n", i);
+        for (int j=0; j<; j++) {
+            for (int k=0; k<; k++) {
+                for (int l=0; l<; l++) {
+                    printf("%.2f", k->w[i][j][k][l]);
+                }
+                print_space;
+            }
+            print_dspace;
+        }
+        print_dspace;
+    }
+    reset_color;
+    print_dspace;
+
+}
+
+void print_pooling(int size) {
+    print_bar;
+    purple;
+    printf("-------Pooling %dx%d-------\n", size ,size);
+    reset_color;
+    print_bar;
+    print_dspace;
+}
+
+void print_kernel_nn(Kernel_nn* k, int size_input, int size_output) {
+    // print bias
+    green;
+    for (int i=0; i<size_output; i++) {
+        printf("%.2f ", k->bias[i]);
+    }
+    print_dspace;
+    reset_color;
+
+    //print weights
+    red;
+    for (int i=0; i<size_output; i++) {
+        for (int j=0; j<size_input; j++) {
+            printf("%.2f ", k->weights[j][i]);
+        }
+        print_space;
+    }
+    reset_color;
+    print_dspace;
+}
+
+void print_input(float*** input, int depth, int dim) {
+    print_bar;
+    print_bar;
+    blue;
+    for (int i=0; i<depth; i++) {
+        for (int j=0; j<dim; j++) {
+            for (int k=0; k<dim; k++) {
+                printf("%.2f ", input[i][j][k]);
+            }
+            print_space;
+        }
+        print_dspace;
+    }
+    reset_color;
+    print_dspace;
+}
+
+void print_cnn(Network* network) {
+    int n = network->size;
+    int input_depth, input_width, output_depth, output_width;
+    Kernel* k_i;
+    for (int i=0; i<(n-1); i++) {
+        input = network->input[i];
+        input_depth = network->depth[i];
+        input_width = network->width[i];
+        output = network->input[i+1];
+        output_depth = network->depth[i+1];
+        output_width = network->width[i+1];
+        k_i = network->kernel[i];
+
+        print_input(input, input_depth, input_width);
+
+        if (k_i->cnn) { // Convolution
+            print_kernel_cnn(k_i->cnn, input_depth, input_width, output_depth, output_width);
+        }
+        else if (k_i->nn) { // Full connection
+            print_kernel_nn(k_i->nn, input_width, output_width);
+        }
+        else { // Pooling
+            print_pooling(input_width - output_width +1);
+        }
+    }
+    print_input(input[n-1], network->depth[n-1], network->width[n-1]);
+}
\ No newline at end of file