From 7e71f2c870cd4ffe291f00919b219b918e8c8fc0 Mon Sep 17 00:00:00 2001
From: abda <abda@dtu.dk>
Date: Tue, 11 Apr 2023 22:15:12 +0200
Subject: [PATCH] Update Chapter10.md

---
 Chapter10/Chapter10.md | 18 +++++++++---------
 1 file changed, 9 insertions(+), 9 deletions(-)

diff --git a/Chapter10/Chapter10.md b/Chapter10/Chapter10.md
index 489a8fe..9f4642f 100644
--- a/Chapter10/Chapter10.md
+++ b/Chapter10/Chapter10.md
@@ -9,20 +9,20 @@ You can aslo open it directly in Google Colab from here:
 
 ## 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:
+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:
+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'
+`source env02506.sh`
 
-The first time you run this, the script will create a new python environment called 'env02506' and activate it.
+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'
+`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:
-'jupyter-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`
-- 
GitLab