Code and data for the summer MR(A)I workshop.
The exercises for this workshop are organized into Jupyter Notebooks which is a way of serving executable Python code on a web page. A Jupyter server can be run by through the internet using Google's Colaboratory service.
We will be using Google Colaboratory to run our notebooks when doing training since a GPU is basically required. You can run the other notebooks locally but everything can be done through Colab if desired.
To get going with Colab:
- Go to https://colab.research.google.com (be sure to be logged into your Google account beforehand)
- Click on the Github tab and enter https://github.com/Warvito/MRAI_workshop_tensorflow/ into the search box
- A number of notebooks should appear, double click the one to load
- When the notebook loads we want to switch to using a GPU supported environment, so in the menu go to "Runtime" and then "Change runtime type".
- Choose GPU under hardware accelerator and then click Save.
- You can start using the notebooks by clicking on the run icons to the left of each cell or press ctrl+Enter. (You will get popups about the notebook not being authored by Google and other things, just click Yes to these)
- Numpy manual: https://docs.scipy.org/doc/numpy/
- Matplotlib manual: https://matplotlib.org/3.1.0/users/index.html
- Tensorflow guide: https://www.tensorflow.org/beta
- Python tutorial: https://www.python.org/about/gettingstarted
- Python tutorial: http://www.learnpython.org
- Deep Learning course: http://cs231n.github.io/
Original material: https://github.com/estherpuyol/MRAI_workshop/