APAI-LAB02: DNN-definition and training

Material

Assigment: here Slides: here

Summary

Today we will work using a well-known environment for python, that is Jupyter Notebook. Using such tool, we will see how to define and train a simple DNN, using PyTorch. Guidelines to work on today's assignment:

1. Clone this repository in you local Docker using <git clone https://github.com/EEESlab/APAI25-LAB02-DNN-definition-and-training >
2. Read the slides and follow the assignment
3. Complete the code in the Jupyter notebook

How to deliver the assignment:

Use Virtuale, upload only the assignment file named as follows: LAB#_APAI_yourname.ipynb

Assignment DEADLINE: 17/10/2025 (at 14:30)

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Quickstart

How to set the environment (Your PC)

1. Open a terminal
2. Go into 'APAI-Docker' folder.
3. Open VSCode with 'code .'
4. On VSCode, click on 'Reopen in container'.
5. Open you new terminal in VSCode and launch the following commands to clone this repository:

git clone https://github.com/EEESlab/APAI25-LAB02-DNN-definition-and-training 
cd APAI25-LAB02-DNN-definition-and-training/

5. Now you're ready to start!

How to set the environment (LAB1)

1. Open the VirtualBox virtual machine
2. Open a terminal (CTRL+T or open terminal)
3. Go into 'APAI-Docker' folder.
4. Open VSCode with 'code .'
5. On VSCode, click on 'Reopen in container'.
6. Open you new terminal in VSCode and launch the following commands to clone this repository:

git clone https://github.com/EEESlab/APAI25-LAB02-DNN-definition-and-training 
cd APAI25-LAB02-DNN-definition-and-training/

7. Now you're ready to start!