This repository contains some of the solutions to the tasks in the Deep Learning course taught by Prof. Brefeld and Samuel Gomes Fadel at the Leuphana University of Lüneburg in the summer semester 2023. The solutions are not necessarily correct and may differ from the solutions given by the lecturer. The solutions are provided as is and without any warranty. If you find any errors or have any suggestions, please feel free to open an issue or a pull request. The content in this repository are updated regularly based on the progress of the course.
- Lecture 1: Motivation for Deep Learning & Intro to Perceptron
- Exercise 1: PyTorch basics, Sigmoid and Softmax
- Exercise 2: Perceptron, Novikoff-Theorem and MNIST classification