{"id":429,"date":"2022-04-05T13:05:16","date_gmt":"2022-04-05T11:05:16","guid":{"rendered":"https:\/\/user.phil.hhu.de\/ehren\/?page_id=429"},"modified":"2022-07-06T14:35:00","modified_gmt":"2022-07-06T12:35:00","slug":"deep-learning-in-nlp-summer-2022","status":"publish","type":"page","link":"https:\/\/user.phil.hhu.de\/ehren\/deep-learning-in-nlp-summer-2022\/","title":{"rendered":"Deep Learning in NLP – Summer 2022"},"content":{"rendered":"\n

Course Material<\/h3>\n\n\n\n
  1. PyTorch Introduction (05.04.2022): Slides<\/a><\/li>
  2. Tensors (12.04.2022): Presentation<\/a>, exercise 1<\/a>, exercise 1 solution<\/a><\/li>
  3. Data Encoding and Embeddings (19.04.2022): Presentation<\/a>, exercise 2<\/a><\/li>
  4. Python Refresher (26.04.2022): Exercise<\/a>, exercise solutions<\/a><\/li>
  5. Data Encoding and Embeddings (continued) (03.05.2022)<\/li>
  6. Building Neural Models (10.05.2022): Presentation<\/a>, exercise 3<\/a><\/li>
  7. Linear regression with PyTorch (17.05.2022): Exercise 4<\/a><\/li>
  8. Linear regression with PyTorch (continued) (24.05.2022)<\/li>
  9. Training by gradient descent (31.05.2022): Presentation<\/a>, exercise 5<\/a>, exercise 4 solution<\/a><\/li>
  10. Training by gradient descent (continued) (07.06.2022)<\/li>
  11. Pretrained Embeddings (14.06.2022): Exercise 6<\/a><\/li>
  12. Training and Evaluation (21.06.2022): Exercise 7<\/a><\/li>
  13. RNN’s\/LSTMs (28.06.2022): Exercise 8<\/del><\/a><\/li>
  14. RNN’s\/LSTMS (05.07.2022): Exercise 8<\/a> (2.0), Project Guidelines<\/a><\/li><\/ol>\n\n\n\n

    Practical Homework<\/h3>\n\n\n\n
    1. Homework 1<\/a> (Deadline: 17.05.2022), Solution<\/a><\/li>
    2. Homework 2<\/a> (Deadline: 25.05.2022), Solution<\/a><\/li>
    3. Homework 3<\/a> (Deadline: 08.06.2022), Solution<\/a><\/li>
    4. Homework 4<\/a> (Exercise 3 of the practical session) (Deadline: 22.06.2022) <\/li>
    5. Homework 5<\/a> (Exercise 1 of the practical session) (Deadline: 30.06.2022)<\/li>
    6. Homework 6<\/a> (Exercise 8 (2.0)) (Deadline: 15.07.2022)<\/li><\/ol>\n\n\n\n

      Theoretical Homework<\/h3>\n\n\n\n
      1. Homework 1<\/a> (Deadline: 09.05.2022)<\/li>
      2. Homework 2<\/a> (Deadline: 13.06.2022)<\/li>
      3. Homework 3<\/a> (Deadline: 04.07.2022)<\/li><\/ol>\n","protected":false},"excerpt":{"rendered":"

        Course Material PyTorch Introduction (05.04.2022): Slides Tensors (12.04.2022): Presentation, exercise 1, exercise 1 solution Data Encoding and Embeddings (19.04.2022): Presentation, exercise 2 Python Refresher (26.04.2022): Exercise, exercise solutions Data Encoding and Embeddings (continued) (03.05.2022) Building Neural Models (10.05.2022): Presentation, exercise 3 Linear regression with PyTorch (17.05.2022): Exercise 4 Linear regression with PyTorch (continued) (24.05.2022) Training … Weiterlesen →<\/span><\/a><\/p>\n","protected":false},"author":59,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"ngg_post_thumbnail":0},"_links":{"self":[{"href":"https:\/\/user.phil.hhu.de\/ehren\/wp-json\/wp\/v2\/pages\/429"}],"collection":[{"href":"https:\/\/user.phil.hhu.de\/ehren\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/user.phil.hhu.de\/ehren\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/user.phil.hhu.de\/ehren\/wp-json\/wp\/v2\/users\/59"}],"replies":[{"embeddable":true,"href":"https:\/\/user.phil.hhu.de\/ehren\/wp-json\/wp\/v2\/comments?post=429"}],"version-history":[{"count":30,"href":"https:\/\/user.phil.hhu.de\/ehren\/wp-json\/wp\/v2\/pages\/429\/revisions"}],"predecessor-version":[{"id":487,"href":"https:\/\/user.phil.hhu.de\/ehren\/wp-json\/wp\/v2\/pages\/429\/revisions\/487"}],"wp:attachment":[{"href":"https:\/\/user.phil.hhu.de\/ehren\/wp-json\/wp\/v2\/media?parent=429"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}