NEW VERSION IS AVAILABLE ! :-)
v3.0.9 - New environment with Keras 3 and PyTorch - Most notebooks have been adapted to Keras3/PyTorch
Prerequisites and contains
- Most notebooks can run on a classic CPU, having a GPU can be nice, but is not essential.
- Original datasets require abour 600 MB, but Consolidated datasets may require up to 10 GB...
The Fidle environment you are going to install will contain the following elements:
- the Python environment, with all its modules
- all the datasets needed
- all the notebooks, from the Gitlab repository
1 - Installation via Docker (Best choice !)
You already use docker ?:
You can install the Fidle environment via Docker ! ( )
The Docker image contains already everything you need.
For installation process, this is the best choice if you know how to use docker !
Note : If you have created a container, you can update the notebooks in your container.
2 - Conventional installation
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.
Choose the right procedure according to your computer OS:
Then, now you can run Jupyter Lab !
3 - Uninstall
To remove and delete all Fidle stuff : Just remove your Fidle folder
(fidle-tp in our examples)
