@@ -5,3 +5,24 @@ The notebook the exercise in Chapter 10 is available from here:
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:
