Here we will install Miniconda to create a virtual environment to setup the deep learning libs. You can use Docker, but I find Miniconda easier.
I installed the latest version via shell script. Check out here if there is a new Miniconda available, like, Miniconda 4.
In WSL-Ubuntu terminal, type:
- wget https://repo.anaconda.com/miniconda/Miniconda3-latest-Linux-x86_64.sh -O ~/miniconda.sh
- echo $HOME (just to check the path)
- /home/liliane
- bash ~/miniconda.sh -b -p $HOME/miniconda
- miniconda/bin/conda init
Restart the terminal to change it.
- conda update -n base -c defaults conda
Now, these steps are for the Deep Fluid net.
- conda create -n DeepFluid python=3.7
- conda activate DeepFluid
If you want to go back to the base environment, type conda deactivate.
If you don't want the DeepFluid environment anymore, type conda env remove -n DeepFluid
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