Deep Learning Course at the IMS (University of Stuttgart)

This repository collects the tutorials for the deep learning course and accompanying material.

Structure

• Setup: Basics for getting started with PyTorch on Linux
• PyTorch 1: Basics
  • Tensor operations
  • Gradient computation
  • Simple data processing
  • Simple neural network
• PyTorch 2: Data Loading & Processing and Model Development for NLP
• PyTorch 3: Training, Inference, Checkpoint Handling
• PyTorch 4: Language Models

Help, Feedback & Other Questions

Contact us via ILIAS (e.g., in the forum), or open an issue in the GitHub repository!