deep_learning_ADNI
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14thibea
.. highlight:: bash
For a more up-to-date repo on the same subject please look at AD-DL repo <https://github.com/aramis-lab/AD-DL>_.
Before launching this code or one of your own you should create a conda env
Conda environment
You can install miniconda on Linux with the following commands::
$ curl https://repo.continuum.io/miniconda/Miniconda3-latest-Linux-x86_64.sh -o /tmp/miniconda-installer.sh $ bash /tmp/miniconda-installer.sh
Type yes when asking to add the miniconda path to your path and restart your session
You can now create your environment and install all the recquirements with::
$ conda create -n deep_ADNI python=3.6 $ git clone https://github.com/14thibea/deep_learning_ADNI.git $ pip install -r deep_learning_ADNI/recquirements.txt
You also need to install pytorch. Please see Pytorch installation <https://pytorch.org/>_ in order to choose the correct command.
Training a network
You can train a network by typing::
$ python main/network.py tsv_path results_path caps_path
14thibea