The notebook the exercise in Chapter 10 is available from here:
[Notebook for mini U-net](https://github.com/vedranaa/teaching-notebooks/blob/main/02506_week10_MiniUnet.ipynb)
You can aslo open it directly in Google Colab from here:
[](https://colab.research.google.com/github/vedranaa/teaching-notebooks/blob/main/02506_week10_MiniUnet.ipynb)
## Run the notebook on DTU Gbar
You can also run the notebook on Gbar on an interactive note. This is done by setting up a Python environment. First you should log onto an interactive GPU node such as `voltash` by running the following command on the command line:
`voltash -X`
To set up a Python environment, you can use the script `env02506.sh`. You should place the file `env02506.sh` in a folder on the Gbar and then run the command line:
`source env02506.sh`
The first time you run this, the script will create a new python environment called `env02506` and activate it.
Then you should install the packages needed which include:
`pip install torch torchvision`
`pip install Pillow`
`pip install notebook`
Now you are good to go. You can navigate to the folder that you wish to store the code, download the notebook from the link above, and open a jupyter notebook by typing the following in the command line:
