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28 Course Materials Available

All lecture slides use discovery-based pedagogy with concrete examples before abstract theory. Each PDF includes worked examples, checkpoint quizzes, and BSc Discovery color scheme for clarity. Materials progress from statistical foundations through neural architectures to modern transformers.

Download Tips: Click any PDF to download. Materials are organized by topic area below. Start with Foundations if new to NLP, or jump to specific topics as needed.

Foundations

Slides Pre-Reading: Neural Networks Introduction Neural Language Models and Embeddings

Exercise: Neural networks - Introduction Neural Language Models and Embeddings

Sequential Models

Übung: Neuronale Netze mit Gedächtnis – RNNs, LSTMs und das Vanishing-Gradient-Problem Neuronale Netze mit Gedächtnis – RNNs, LSTMs und das Vanishing-Gradient-Problem

RNNs Introduction RNNs

Slides Introduction LSTMs LSTMs

Sequence-to-Sequence-Modelle Predicting the next sentence - Sequence to Sequence

Transformers

Transformers Transformers

Applications

Lecture: Decoding Strategies Decoding Strategies