AdamovskyiAnatolii / dl_in_nlp_2019

Taking together Stanford cs224n course with support of iPavlov team.

dl_in_nlp_2019

Taking together Stanford cs224n course with support of iPavlov team.

News: https://t.me/dlinnlp

Chat: https://t.me/joinchat/B-HNhhRwNwBnSgYIkOhyPA

Syllabus: https://docs.google.com/spreadsheets/d/16oB-WgeHqJEm29Er_Zu3X1mQRXfOFidqGnNP0cbbAuo/

Google calendar: https://clck.ru/FBsQs

Community articles links: https://www.mendeley.com/community/dl-in-nlp-course/

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Week 0

• Lecture 2 | Word Vector Representations (word2vec): https://youtu.be/ERibwqs9p38
• Quizz before 07.02.2019 : https://goo.gl/forms/9EZmQhqfhicW0yaO2
• Quizz answers : Evernote Link
• Seminar materials:
  • Part 1. Conversational Artificial Intelligence.: https://youtu.be/3nKhzlfaOTE
  • Part 2. Course intro: https://youtu.be/U_1xdGUQZ5o
  • Part 3. Word vector representations : https://youtu.be/juDdkybtTv0
  • Slides Part 2 : https://bit.ly/2Gi9V1z
  • Slides Part 3 : https://bit.ly/2WQRtSR
• Additional materials:
  • Lecture 1 | Natural Language Processing with Deep Learning: https://youtu.be/OQQ-W_63UgQ
  • Lecture 3 | GloVe: Global Vectors for Word Representation: https://youtu.be/ASn7ExxLZws
  • Word2Vec Tutorial - The Skip-Gram Model: http://mccormickml.com/2016/04/19/word2vec-tutorial-the-skip-gram-model/
  • Efficient Estimation of Word Representations in Vector Space: https://arxiv.org/pdf/1301.3781.pdf
  • Distributed Representations of Words and Phrases and their Compositionality: https://arxiv.org/pdf/1310.4546.pdf

Week 1

• Lecture 4 | Word Window Classification and Neural Networks: https://youtu.be/uc2_iwVqrRI
• Lecture 5 (before 48 minute) | Backpropagation and Project Advice: https://youtu.be/isPiE-DBagM
• Quizz before 14.02.2019 : https://goo.gl/forms/9yDB1KAojvpEABtf2
• Additional materials:
  • (in Russian) Линейные модели классификации и регрессии: https://habr.com/post/323890/
  • Intro in Convolutional Neural Networks for Visual Recognition: http://cs231n.github.io/neural-networks-1

Week 2

• Lecture 5 (cs231n) | Neural Networks Part 2: https://youtu.be/gYpoJMlgyXA
• (Optional) Lecture 4 (cs231n) | Backpropagation, Neural Networks Part 1: https://youtu.be/i94OvYb6noo
• Quizz before 21.02.2019: https://goo.gl/forms/0dVAtBdUUmeJU7NB2