From 89971d60c540567a86c7a391ebd0c07301815907 Mon Sep 17 00:00:00 2001
From: Jean-Luc Parouty <Jean-Luc.Parouty@grenoble-inp.fr>
Date: Wed, 11 Mar 2020 18:37:39 +0100
Subject: [PATCH] Update README to include new wiki pages
---
README.ipynb | 11 +++++------
README.md | 9 ++++-----
2 files changed, 9 insertions(+), 11 deletions(-)
diff --git a/README.ipynb b/README.ipynb
index 6c95bf1..9b3b693 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",
- "[](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 f3e379d..200e2db 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
-[](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 -->
--
GitLab