From a030357f337dfb6818c7989cf770bbb3beeba3e2 Mon Sep 17 00:00:00 2001
From: Jean-Luc Parouty <Jean-Luc.Parouty@grenoble-inp.fr>
Date: Thu, 20 Feb 2020 17:43:36 +0100
Subject: [PATCH] Update README.md
Former-commit-id: 8a246c1c2c7fed788f75a260246938c90c8baefa
---
BHPD/01-DNN-Regression.ipynb | 3 +-
BHPD/02-DNN-Regression-Premium.ipynb | 4 +-
GTSRB/01-Preparation-of-data.ipynb | 6 +--
GTSRB/02-First-convolutions.ipynb | 6 +--
GTSRB/03-Tracking-and-visualizing.ipynb | 6 +--
README.md | 10 ++---
fidle/Charte.ipynb | 56 +++++++++++++++++++++++++
7 files changed, 74 insertions(+), 17 deletions(-)
create mode 100644 fidle/Charte.ipynb
diff --git a/BHPD/01-DNN-Regression.ipynb b/BHPD/01-DNN-Regression.ipynb
index 57e9c67..1fbeea6 100644
--- a/BHPD/01-DNN-Regression.ipynb
+++ b/BHPD/01-DNN-Regression.ipynb
@@ -6,7 +6,8 @@
"source": [
"<img width=\"800px\" src=\"../fidle/img/00-Fidle-header-01.svg\"></img>\n",
"\n",
- "# <!-- TITLE --> Regression with a Dense Network (DNN)\n",
+ "\n",
+ "# <!-- TITLE --> [REG1] - Regression with a Dense Network (DNN)\n",
"<!-- DESC --> A Simple regression with a Dense Neural Network (DNN) - BHPD dataset\n",
"<!-- AUTHOR : Jean-Luc Parouty (CNRS/SIMaP) -->\n",
"\n",
diff --git a/BHPD/02-DNN-Regression-Premium.ipynb b/BHPD/02-DNN-Regression-Premium.ipynb
index 311c586..350a322 100644
--- a/BHPD/02-DNN-Regression-Premium.ipynb
+++ b/BHPD/02-DNN-Regression-Premium.ipynb
@@ -4,9 +4,9 @@
"cell_type": "markdown",
"metadata": {},
"source": [
- "\n",
+ "<img width=\"800px\" src=\"../fidle/img/00-Fidle-header-01.svg\"></img>\n",
"\n",
- "# <!-- TITLE --> Regression with a Dense Network (DNN) - Advanced code\n",
+ "# <!-- TITLE --> [REG2] - Regression with a Dense Network (DNN) - Advanced code\n",
" <!-- DESC --> More advanced example of DNN network code - BHPD dataset\n",
" <!-- AUTHOR : Jean-Luc Parouty (CNRS/SIMaP) -->\n",
"\n",
diff --git a/GTSRB/01-Preparation-of-data.ipynb b/GTSRB/01-Preparation-of-data.ipynb
index cb51503..9536192 100644
--- a/GTSRB/01-Preparation-of-data.ipynb
+++ b/GTSRB/01-Preparation-of-data.ipynb
@@ -4,9 +4,9 @@
"cell_type": "markdown",
"metadata": {},
"source": [
- "\n",
+ "<img width=\"800px\" src=\"../fidle/img/00-Fidle-header-01.svg\"></img>\n",
"\n",
- "# <!-- TITLE --> CNN with GTSRB dataset - Data analysis and preparation\n",
+ "# <!-- TITLE --> [GTS1] - CNN with GTSRB dataset - Data analysis and preparation\n",
"<!-- DESC --> Episode 1: Data analysis and creation of a usable dataset\n",
"<!-- AUTHOR : Jean-Luc Parouty (CNRS/SIMaP) -->\n",
"\n",
@@ -664,7 +664,7 @@
"metadata": {},
"source": [
"---\n",
- ""
+ "<img width=\"80px\" src=\"../fidle/img/00-Fidle-logo-01.svg\"></img>"
]
}
],
diff --git a/GTSRB/02-First-convolutions.ipynb b/GTSRB/02-First-convolutions.ipynb
index b853511..a9119c5 100644
--- a/GTSRB/02-First-convolutions.ipynb
+++ b/GTSRB/02-First-convolutions.ipynb
@@ -4,9 +4,9 @@
"cell_type": "markdown",
"metadata": {},
"source": [
- "\n",
+ "<img width=\"800px\" src=\"../fidle/img/00-Fidle-header-01.svg\"></img>\n",
"\n",
- "# <!-- TITLE --> CNN with GTSRB dataset - First convolutions\n",
+ "# <!-- TITLE --> [GTS2] - CNN with GTSRB dataset - First convolutions\n",
"<!-- DESC --> Episode 2 : First convolutions and first results\n",
"<!-- AUTHOR : Jean-Luc Parouty (CNRS/SIMaP) -->\n",
"\n",
@@ -307,7 +307,7 @@
"metadata": {},
"source": [
"---\n",
- ""
+ "<img width=\"80px\" src=\"../fidle/img/00-Fidle-logo-01.svg\"></img>"
]
}
],
diff --git a/GTSRB/03-Tracking-and-visualizing.ipynb b/GTSRB/03-Tracking-and-visualizing.ipynb
index 5819f76..9a464b2 100644
--- a/GTSRB/03-Tracking-and-visualizing.ipynb
+++ b/GTSRB/03-Tracking-and-visualizing.ipynb
@@ -4,9 +4,9 @@
"cell_type": "markdown",
"metadata": {},
"source": [
- "\n",
+ "<img width=\"800px\" src=\"../fidle/img/00-Fidle-header-01.svg\"></img>\n",
"\n",
- "# <!-- TITLE --> CNN with GTSRB dataset - Monitoring \n",
+ "# <!-- TITLE --> [GTS3] - CNN with GTSRB dataset - Monitoring \n",
"<!-- DESC --> Episode 3: Monitoring and analysing training, managing checkpoints\n",
"<!-- AUTHOR : Jean-Luc Parouty (CNRS/SIMaP) -->\n",
"\n",
@@ -463,7 +463,7 @@
"metadata": {},
"source": [
"---\n",
- ""
+ "<img width=\"80px\" src=\"../fidle/img/00-Fidle-logo-01.svg\"></img>"
]
}
],
diff --git a/README.md b/README.md
index eb66f65..e2364c9 100644
--- a/README.md
+++ b/README.md
@@ -37,15 +37,15 @@ Useful information is also available in the [wiki](https://gricad-gitlab.univ-gr
Illustration of the problem of complexity with the polynomial regression
1. [Logistic regression, in pure Tensorflow](LinearReg/04-Logistic-Regression.ipynb)<br>
Logistic Regression with Mini-Batch Gradient Descent using pure TensorFlow.
-1. [Regression with a Dense Network (DNN)](BHPD/01-DNN-Regression.ipynb)<br>
+1. [[REG1] - Regression with a Dense Network (DNN)](BHPD/01-DNN-Regression.ipynb)<br>
A Simple regression with a Dense Neural Network (DNN) - BHPD dataset
-1. [Regression with a Dense Network (DNN) - Advanced code](BHPD/02-DNN-Regression-Premium.ipynb)<br>
+1. [[REG2] - Regression with a Dense Network (DNN) - Advanced code](BHPD/02-DNN-Regression-Premium.ipynb)<br>
More advanced example of DNN network code - BHPD dataset
-1. [CNN with GTSRB dataset - Data analysis and preparation](GTSRB/01-Preparation-of-data.ipynb)<br>
+1. [[GTS1] - CNN with GTSRB dataset - Data analysis and preparation](GTSRB/01-Preparation-of-data.ipynb)<br>
Episode 1: Data analysis and creation of a usable dataset
-1. [CNN with GTSRB dataset - First convolutions](GTSRB/02-First-convolutions.ipynb)<br>
+1. [[GTS2] - CNN with GTSRB dataset - First convolutions](GTSRB/02-First-convolutions.ipynb)<br>
Episode 2 : First convolutions and first results
-1. [CNN with GTSRB dataset - Monitoring ](GTSRB/03-Tracking-and-visualizing.ipynb)<br>
+1. [[GTS3] - CNN with GTSRB dataset - Monitoring ](GTSRB/03-Tracking-and-visualizing.ipynb)<br>
Episode 3: Monitoring and analysing training, managing checkpoints
1. [CNN with GTSRB dataset - Data augmentation ](GTSRB/04-Data-augmentation.ipynb)<br>
Episode 4: Improving the results with data augmentation
diff --git a/fidle/Charte.ipynb b/fidle/Charte.ipynb
new file mode 100644
index 0000000..c69dff7
--- /dev/null
+++ b/fidle/Charte.ipynb
@@ -0,0 +1,56 @@
+{
+ "cells": [
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "<img width=\"800px\" src=\"../fidle/img/00-Fidle-header-01.svg\"></img>\n",
+ "\n",
+ "# <!-- TITLE --> Titre_du_notebook\n",
+ "<!-- DESC --> Description_du_notebook_et_de_sa_thématique\n",
+ "<!-- AUTHOR : Jean-Luc Parouty (CNRS/SIMaP) -->\n",
+ "\n",
+ "## Objectives :\n",
+ " - Objectif \n",
+ " - Objectif_pédagogique \n",
+ "\n",
+ "\n",
+ "A_propos_du_dataset\n",
+ "\n",
+ "## What we're going to do :\n",
+ "\n",
+ " - Ceci\n",
+ " - Cela\n"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "---\n",
+ "<img width=\"80px\" src=\"../fidle/img/00-Fidle-logo-01.svg\"></img>"
+ ]
+ }
+ ],
+ "metadata": {
+ "kernelspec": {
+ "display_name": "Python 3",
+ "language": "python",
+ "name": "python3"
+ },
+ "language_info": {
+ "codemirror_mode": {
+ "name": "ipython",
+ "version": 3
+ },
+ "file_extension": ".py",
+ "mimetype": "text/x-python",
+ "name": "python",
+ "nbconvert_exporter": "python",
+ "pygments_lexer": "ipython3",
+ "version": "3.7.6"
+ }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 4
+}
--
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