DeepLearningProjects

Authors:

• Marta Szuwarska
• Mateusz Nizwantowski

This repository contains the three projects from the Deep Learning course in the Data Science Master's program at the Faculty of Mathematics and Information Science. In these projects, we:

1. Implement and thoroughly test convolutional neural networks (CNNs) to classify objects in images.
2. Develop a solution using transformer architecture to recognize voice commands.
3. Train various generative models to create pictures of cats.

The goal of this work is purely educational and research-focused. We aim not to create the best possible models, but to learn as much as possible.