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    # Material for Chapter 10
    
    
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    The notebook for the exercise in Chapter 10 is available from here:
    
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    [Notebook for mini U-net](https://github.com/vedranaa/teaching-notebooks/blob/main/02506_week10_MiniUnet.ipynb)
    
    
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    You can also open it directly in Google Colab from here:
    
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    [![Open in Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/vedranaa/teaching-notebooks/blob/main/02506_week10_MiniUnet.ipynb)
    
    
    ## Run the notebook on DTU Gbar
    
    
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    It is possible to 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:
    
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    `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:
    
    `jupyter-notebook`