I suggest cloning this git repository. To do so type git clone https://github.com/raspstephan/MPI-ML-Tutorial.git. Alternatively, you can download a zip file.
Note: We are using Python 3.6!
For the tutorial, we will use Jupyter notebooks. If you are familiar with Python and how to install libraries, simply open up the demo.ipynb notebook and make sure you can run all the cells without any errors.
If you are not so familiar with Python and Python packages, I highly recommend using the Anaconda package manager. Simply go to the website and download the Anaconda version for your OS and follow the installation instructions. Then install the packages we will need for this tutorial:
conda install numpy matplotlib jupyter scikit-learn keras
Then go into this directory on your machine and type jupyter notebook. A window should appear in your browser. From there click on the demo.ipynb notebook and try to execute all cells. To execute a cell simply click the play button or type shift + Enter.
Please let me know if you have problems: s.rasp@lmu.de