This is the repository for course material (input and output) for the "Mathematics of deep learning with an emphasis on inverse problems" course at Göttingen 2018.
The latest version of ODL and some supporting libraries are needed in order to use these notebooks. See the installation instructions for further information.
Part of the material will be published as Jupyter notebooks. If you're familiar with Mathematica notebooks, you won't be surprised.
To install the notebook software, you can either use conda:
conda install notebook
or pip:
pip install notebook
You can then start the software by running
jupyter notebook
in a terminal. Sometimes one gets OSError: [Errno 99] Cannot assign requested address. In this case an explicit IP has to be given, which should be the equivalent to localhost in your case:
jupyter notebook --ip=127.0.0.1
The notebooks can also be viewed online as static HTML pages. This works (somewhat) on GitHub directly, but better with nbviewer. Just copy the URL of the notebook into the text field at that page.
If you find any errors or experience issues, please get back to us (@ozanoktem or @adler-j) or create an issue.