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[FR] Week 14 + README + A few corrections (#572)
* Add French translation of patterns * Add French translation of patterns * Markdown corrections * Markdown corrections * Markdown correction * Markdown corrections * Markdown correction * Markdown corrections * Markdown corrections * Markdown correction * Markdown corrections * Markdown correction * Update 10-2.md * Markdown correction * Markdown correction * Markdown correction * Markdown corrections * Markdown correction * Word correction * Create 14.md * Create 14-1.md * Create 14-2.md * Create 14-3.md * Create README-FR.md * Update _config.yml * Add French Translation * Update 14.md * Update README-FR.md * Update README-AR.md * Update README-ES.md * Update README-IT.md * Update README-JA.md * Update README-KO.md * Update README-TR.md * Update README-ZH.md * Update _config.yml Co-authored-by: Alfredo Canziani <alfredo.canziani@gmail.com>
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<!-- Deep Learning (with PyTorch) | ||
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# Apprentissage profond (avec PyTorch) [![Binder](https://mybinder.org/badge_logo.svg)](https://mybinder.org/v2/gh/Atcold/pytorch-Deep-Learning/master) | ||
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<!-- This notebook repository now has a [companion website](https://atcold.github.io/pytorch-Deep-Learning/), where all the course material can be found in video and textual format. | ||
--> | ||
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Ce répertoire a maintenant un [site web associé](https://atcold.github.io/pytorch-Deep-Learning/), où tout le matériel de cours peut être trouvé au format vidéo et textuel. | ||
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<!-- English - Mandarin - Korean - Spanish - Italian - Turkish - Japanese - Arabic - French --> | ||
[🇬🇧](https://github.com/Atcold/pytorch-Deep-Learning/blob/master/README.md) [🇨🇳](https://github.com/Atcold/pytorch-Deep-Learning/blob/master/docs/zh/README-ZH.md) [🇰🇷](https://github.com/Atcold/pytorch-Deep-Learning/blob/master/docs/ko/README-KO.md) [🇪🇸](https://github.com/Atcold/pytorch-Deep-Learning/blob/master/docs/es/README-ES.md) [🇮🇹](https://github.com/Atcold/pytorch-Deep-Learning/blob/master/docs/it/README-IT.md) [🇹🇷](https://github.com/Atcold/pytorch-Deep-Learning/blob/master/docs/tr/README-TR.md) [🇯🇵](https://github.com/Atcold/pytorch-Deep-Learning/blob/master/docs/ja/README-JA.md) [🇸🇦](https://github.com/Atcold/pytorch-Deep-Learning/blob/master/docs/ar/README-AR.md) [🇫🇷](https://github.com/Atcold/pytorch-Deep-Learning/blob/master/docs/fr/README-FR.md) | ||
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<!--# Getting started | ||
To be able to follow the exercises, you are going to need a laptop with Miniconda (a minimal version of Anaconda) and several Python packages installed. | ||
The following instruction would work as is for Mac or Ubuntu Linux users, Windows users would need to install and work in the [Git BASH](https://gitforwindows.org/) terminal.--> | ||
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# Pour commencer | ||
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Pour pouvoir suivre les exercices, vous aurez besoin d'un ordinateur portable avec Miniconda (une version minimale d'Anaconda) et plusieurs packages Python installés. | ||
Les instructions suivantes fonctionneront telles quelles pour les utilisateurs de Mac ou Ubuntu Linux, les utilisateurs de Windows devront installer et travailler dans le terminal [Git BASH](https://gitforwindows.org/). | ||
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<!— | ||
## Download and install Miniconda | ||
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Please go to the [Anaconda website](https://conda.io/miniconda.html). | ||
Download and install *the latest* Miniconda version for *Python* 3.7 for your operating system. | ||
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```bash | ||
wget <http:// link to miniconda> | ||
sh <miniconda*.sh> | ||
``` | ||
--> | ||
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## Télécharger et installer Miniconda | ||
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Veuillez-vous rendre sur le [site web d'Anaconda](https://conda.io/miniconda.html). | ||
Téléchargez et installez la *dernière* version de Miniconda pour *Python* 3.7 pour votre système d'exploitation. | ||
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```bash | ||
wget <http:// link to miniconda> | ||
sh <miniconda*.sh> | ||
``` | ||
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<!— | ||
## Check-out the git repository with the exercise | ||
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Once Miniconda is ready, checkout the course repository and proceed with setting up the environment: | ||
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```bash | ||
git clone https://github.com/Atcold/pytorch-Deep-Learning | ||
``` | ||
--> | ||
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## Vérifiez le dépôt git avec l'exercice | ||
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Une fois que Miniconda est prêt, consultez le répertoire des cours et procédez à la mise en place de l'environnement : | ||
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```bash | ||
git clone https://github.com/Atcold/pytorch-Deep-Learning | ||
``` | ||
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<!— | ||
## Create isolated Miniconda environment | ||
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Change directory (`cd`) into the course folder, then type: | ||
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```bash | ||
# cd pytorch-Deep-Learning | ||
conda env create -f environment.yml | ||
source activate pDL | ||
``` | ||
--> | ||
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## Créer un environnement Miniconda isolé | ||
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Changez le répertoire (`cd`) dans le dossier du cours, puis tapez : | ||
```bash | ||
# cd pytorch-Deep-Learning | ||
conda env create -f environment.yml | ||
source activate pDL | ||
``` | ||
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<!— | ||
## Start Jupyter Notebook or JupyterLab | ||
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Start from terminal as usual: | ||
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```bash | ||
jupyter lab | ||
``` | ||
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Or, for the classic interface: | ||
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```bash | ||
jupyter notebook | ||
``` | ||
--> | ||
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## Démarrer Jupyter Notebook ou JupyterLab | ||
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Dans le terminal lancez : | ||
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```bash | ||
jupyter lab | ||
``` | ||
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Ou bien pour l'interface classique : | ||
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```bash | ||
jupyter notebook | ||
``` | ||
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<!— | ||
## Notebooks visualisation | ||
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*Jupyter Notebooks* are used throughout these lectures for interactive data exploration and visualisation. | ||
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We use dark styles for both *GitHub* and *Jupyter Notebook*. | ||
You should try to do the same, or they will look ugly. | ||
JupyterLab has a built-in selectable dark theme, so you only need to install something if you want to use the classic notebook interface. | ||
To see the content appropriately in the classic interface install the following: | ||
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- [*Jupyter Notebook* dark theme](https://userstyles.org/styles/153443/jupyter-notebook-dark); | ||
- [*GitHub* dark theme](https://userstyles.org/styles/37035/github-dark) and comment out the `invert #fff to #181818` code block. | ||
--> | ||
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## Visualisation des notebooks | ||
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Les *Notebooks Jupyter * sont utilisés tout au long de ces conférences pour l'exploration et la visualisation des données. | ||
Nous utilisons des styles sombres pour *GitHub* et *Jupyter Notebook*. | ||
Nous vous conseillons de faire de même sinon les rendus risques d’être moches. | ||
JupyterLab a un thème sombre intégré sélectionnable, il vous suffit donc d'installer quelque chose si vous voulez utiliser l'interface classique. | ||
Pour voir le contenu de manière appropriée dans l'interface classique, installez ce qui suit : | ||
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- [*Notebooks Jupyter* thème sombre](https://userstyles.org/styles/153443/jupyter-notebook-dark) ; | ||
- [*GitHub* thème sombre](https://userstyles.org/styles/37035/github-dark) et commentez le bloc de code `invert #fff to #181818`. | ||
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