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Deep Learning in NLP – Summer 2024

Course Material

  1. Introduction (09.04.24): Slides
  2. Python Refresher (16.04.24): Notebook, Solutions
  3. Tensors (23.04.24): Presentation, Notebook, Solutions
  4. Data Encoding (30.04.24): Presentation, Notebook, Solutions
  5. Word Embeddings (07.05.24): Presentation, Notebook, Solutions, Data
  6. Building Neural Modules (14.05.24): Presentation, Notebook, Solutions
  7. Gradient Descent (21.05.24): Presentation, Notebook, Solutions, Data
  8. Gradient Descent II (28.05.24): Notebook + Modules, Solutions
  9. Word Embeddings (11.06.24): Material
  10. LM Training (18.06.24): Notebook
  11. LM and POS Tagging (25.06.24): Material
  12. Transformers (02.07.24): Notebook
  13. Project Discussion (09.07.24)

Theoretical Homework

  1. Theoretical Homework Nr. 1 (Deadline: 16.05.24)
  2. Theoretical Homework Nr.2 (Deadline: 06.06.24)

Term Paper

Additional Material