1. Introduction (Druckversion)
2. Backpropagation and Logistic Regression (Druckversion)
3. Neural Networks (Druckversion)
4. Practical aspects of neural networks (Druckversion)
5. Convolutional neural networks (Druckversion)
6. Sequence Models (Druckversion)
7. Transformer Models (Druckversion)
8. Ethical & legal aspects (Druckversion)