diff --git a/Chapter10/Chapter10.md b/Chapter10/Chapter10.md deleted file mode 100644 index 2eb246ca89c6594102fd8732df6ade78e440b031..0000000000000000000000000000000000000000 --- a/Chapter10/Chapter10.md +++ /dev/null @@ -1,32 +0,0 @@ -# Material for Chapter 10 - -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: - -`jupyter-notebook`