diff --git a/README.ipynb b/README.ipynb
index 6c95bf1ed4698df18f279479e12c9790f94ea3c8..9b3b6937f969bc4f673bac8d9169a67689e68b03 100644
--- a/README.ipynb
+++ b/README.ipynb
@@ -2,7 +2,7 @@
  "cells": [
   {
    "cell_type": "code",
-   "execution_count": 3,
+   "execution_count": 1,
    "metadata": {
     "jupyter": {
      "source_hidden": true
@@ -21,9 +21,11 @@
        "\n",
        "## A propos\n",
        "\n",
-       "This repository contains all the documents and links of the **Fidle Training**.  \n",
+       "This repository contains all the documents and links of the **Fidle Training** .   \n",
+       "Fidle (for Formation Introduction au Deep Learning) is a 2-day training session  \n",
+       "co-organized by the Formation Permanente CNRS and the SARI and DEVLOG networks.  \n",
        "\n",
-       "The objectives of this training, co-organized by the Formation Permanente CNRS and the SARI and DEVLOG networks, are :\n",
+       "The objectives of this training,, are :\n",
        " - Understanding the **bases of Deep Learning** neural networks\n",
        " - Develop a **first experience** through simple and representative examples\n",
        " - Understanding **Tensorflow/Keras** and **Jupyter lab** technologies\n",
@@ -42,9 +44,6 @@
        "\n",
        "## Jupyter notebooks\n",
        "\n",
-       "[![Binder](https://mybinder.org/badge_logo.svg)](https://mybinder.org/v2/git/https%3A%2F%2Fgricad-gitlab.univ-grenoble-alpes.fr%2Ftalks%2Fdeeplearning.git/master?urlpath=lab/tree/index.ipynb)\n",
-       "\n",
-       "\n",
        "<!-- DO NOT REMOVE THIS TAG !!! -->\n",
        "<!-- INDEX -->\n",
        "<!-- INDEX_BEGIN -->\n",
diff --git a/README.md b/README.md
index f3e379d84f7f52ef5bc9f3d9edb80fb1fc75f40d..200e2dbc775d81180c4b45dea45bbf7fdf0d2aa8 100644
--- a/README.md
+++ b/README.md
@@ -7,9 +7,11 @@
 
 ## A propos
 
-This repository contains all the documents and links of the **Fidle Training**.  
+This repository contains all the documents and links of the **Fidle Training** .   
+Fidle (for Formation Introduction au Deep Learning) is a 2-day training session  
+co-organized by the Formation Permanente CNRS and the SARI and DEVLOG networks.  
 
-The objectives of this training, co-organized by the Formation Permanente CNRS and the SARI and DEVLOG networks, are :
+The objectives of this training,, are :
  - Understanding the **bases of Deep Learning** neural networks
  - Develop a **first experience** through simple and representative examples
  - Understanding **Tensorflow/Keras** and **Jupyter lab** technologies
@@ -28,9 +30,6 @@ Some other useful informations are also available in the [wiki](https://gricad-g
 
 ## Jupyter notebooks
 
-[![Binder](https://mybinder.org/badge_logo.svg)](https://mybinder.org/v2/git/https%3A%2F%2Fgricad-gitlab.univ-grenoble-alpes.fr%2Ftalks%2Fdeeplearning.git/master?urlpath=lab/tree/index.ipynb)
-
-
 <!-- DO NOT REMOVE THIS TAG !!! -->
 <!-- INDEX -->
 <!-- INDEX_BEGIN -->