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neural_network_course_WS2425

This repository is the basis for the course "Neural Networks: An application-oriented introduction" at the University of Regensburg, Germany, taught by Prof. Mathias Kraus in the Winter Semester 2024/2025.

The recommended way to work with this repository is to clone it and then update the code base throughout the course.

Colab & Kaggle

When using Colab or Kaggle, you should upload the jupyter notebook and run the following commands in a code block:

!git clone https://github.com/MathiasKraus/neural_network_course_WS2425

and

!pip install lightning

Additionally, you should change the imports as follows:

from data import CatDogDataModule, MNISTDataModule

to

from neural_network_course_WS2425.data import CatDogDataModule, MNISTDataModule

The same needs to be done for the other Python files (model, helper).

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