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[<img src="uploads/b78708ab8609c803fced7b5c6c86096f/00-fidle-header-03.svg">](home)
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## NEW VERSION IS AVAILABLE ! :-)
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## IMPORTANT :
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> We're in the process of **updating** the **Fidle environment** :-)
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> This new version should be **AVAILABLE WITHIN A FEW DAY !**.
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>
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> We therefore advise you to **wait for this new version** before installing the Fidle environment :-)
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>
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> <img width="100px" src="uploads/98edae8ca8dd00f6d256a435195bed6f/noun-wait-6442700.png">
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> v3.0.5 - New environment with Keras 3 and PyTorch - Most notebooks have been adapted to Keras3/PyTorch
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## Prerequisites and contains
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* All notebooks can run on a **classic CPU**, having a GPU can be nice, but is not essential.
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* Original datasets require about 2.5 GB, but Consolidated datasets may require up to **15-20 GB**...
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* Most notebooks can run on a **classic CPU**, having a GPU can be nice, but is not essential.
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* Original datasets require abour 600 MB, but Consolidated datasets may require up to **10 GB**...
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**The Fidle environment** you are going to install will contain the following elements:
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* the **Python** environment, with all its modules
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* all the **datasets** needed
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* all the **notebooks**, from the Gitlab repository
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## 1 - Installation via Docker (Best choice if you know docker!)
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## 1 - Installation via Docker (Best choice !)
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**You already use docker ?**:<br>
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You can [**install the Fidle environment via Docker**](Install-Docker) !
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([<img width="15px" src="uploads/677b49fe6e5f0aee65658ba58afb94ce/noun-star-2324309-E12229.png">
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<img width="15px" src="uploads/677b49fe6e5f0aee65658ba58afb94ce/noun-star-2324309-E12229.png">
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<img width="15px" src="uploads/677b49fe6e5f0aee65658ba58afb94ce/noun-star-2324309-E12229.png">](Install-Docker))
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**You already use docker ?**:\
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You can [**install the Fidle environment via Docker**](Install-Docker)[ !]() ([ ](Install-Docker))
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The Docker image contains already everything you need.
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<br>For installation process, this is the best choice **if you know how to use docker** !
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The Docker image contains already everything you need. \
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For installation process, this is the best choice **if you know how to use docker** !
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## 2 - Conventional installation
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**You prefer to have everything installed on your computer natively OR you do not use docker**
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This procedure will allow you to install all the environment necessary for the Fidle practical work. This environment is identical in every way to a classic Deep Learning development environment.
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**You prefer to have everything installed on your computer natively OR you do not use docker** This procedure will allow you to install all the environment necessary for the Fidle practical work. This environment is identical in every way to a classic Deep Learning development environment.
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Choose the right procedure according to your computer OS:
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- **[Linux installation](/Using-Fidle/Linux installation with pip)**
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- **[Windows installation with pip](/Using Fidle/Windows installation)**
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- **[Manual installation with conda (MacOs)](/Using Fidle/Manual installation)**
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Then, now you can **[run Jupyter Lab !](Using-Fidle/Running-Jupyter)**
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- [**Linux installation**](/Using-Fidle/Linux%20installation%20with%20pip)
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- [**Windows installation with pip**](/Using%20Fidle/Windows%20installation)
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- [**Manual installation with conda (MacOs)**](/Using%20Fidle/Manual%20installation)
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Then, now you can [**run Jupyter Lab !**](Using-Fidle/Running-Jupyter)
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## 3 - Uninstall
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To remove and delete all Fidle stuff : Just remove your Fidle folder
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To remove and delete all Fidle stuff : Just remove your Fidle folder\
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(`fidle-tp` in our examples)
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\ No newline at end of file |
