Part 1

In this exercise series, you'll work with a Recurrent Neural Network (RNN) to generate 3 fictional German names based on a dataset of ~700 german names. The script you'll interact with is based on PyTorch and demonstrates how AI-LAB can be used for sequence prediction tasks.

Log in to AI-LAB (Login guide)
Copy the folder /ceph/course/claaudia/generating-names-with-pytorch to your user directory (Guide on how to copy a folder)
Go into the copied directory generating-names-with-pytorch and open name_generator.py with nano (Nano guide) or vim (Vim guide) text editor.
Add this line: samples('German', 'GER') at the bottom of the code, save it, and exit the file.
(Optional) run cat name_generator.py to print out the code, and verify that samples('German', 'GER') is at the bottom.

Solution

Run the following command on a command-line interface on your local Windows (Windows PowerShell), macOS, or Linux computer ssh -l user@student.aau.dk ailab-fe01.srv.aau.dk. Replace user@student.aau.dk with your AAU email address.

The first time you connect, you will get a message like:

The authenticity of host 'ailab-fe01.srv.aau.dk (172.21.131.1300)' can't be established.
ED25519 key fingerprint is SHA256:xosJtOSfQyyW16c6RtpN8tAi/91XHCR3GxM9/KJEogg.
This key is not known by any other names.
Are you sure you want to continue connecting (yes/no/[fingerprint])?
Please confirm by typing 'yes' to proceed with the connection.

Please confirm by typing yes to proceed with the connection.

Enter cp -r /ceph/course/claaudia/generating-names-with-pytorch ~/ to copy the directory to your user directory
Enter cd generating-names-with-pytorch to go into the directory
Use nano name_generator.py to open the python file with nano text editor
- Go down to the bottom of the script and enter samples('German', 'GER').
- Press CTRL+O followed by ENTER to save the file, then press CTRL+X to exit the file.
Use cat name_generator.py and check that samples('German', 'GER') is now at the bottom of the code.