ls - show the contents of the current directory
pwd - show the current path (i.e. where you are in the file structure)
cd <directory_name> - change directory into <directory_name>
cd .. - change directory up one level
cd - change into your home directory
cp <file_name> <new_file_name> - make a copy of the file <file_name> called <new_file_name>
mkdir <directory_name> - make a directory called <directory_name>
Also remember you can use the up arrow to see previous commands entered, and the tab key to do tab completion on commands you start typing.
The first time you want to run you need to get the code from github. You can start by making and changing directory into the area you want to work in, and then do the following:
On this page click on the green "code" button to get the repository address then do:
git clone https://github.com/abbeywaldron/deep-learning-2024.git
Now you can change into the directory and look around to check you successfully got the files:
cd deep-learning-2024
ls
Remember you can use tab completion! Now we can launch the TensorFlow environment and Jupyter:
source activate tf2.11
jupyter notebook
IMPORTANT TIP: rename your notebooks when you start running them so that if you pull from the git repository later they have no chance of being over-written.
After you have checked out the code you only need to run the last two commands, so if you come back tomorrow and want to work on the same thing, just run the last two commands.
To update your repository to get the new exercises each week, first remember to rename and save all your files! Then do:
git pull