Yorko / Dl_in_nlp_deeppavlov_cs224n_spring2020
"Deep Learning in Natural Language Processing" - a course by DeepPavlov built on top of Stanford's cs224n
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"DL in NLP" by DeepPavlov. Spring 2020
The course is held in Russian. Main platform is this Telegram channel. Lead by Alex Sorokin (@alexeysorokin89) & Vasiliy Konovalov (@letmypeoplego), both affiliated with MIPT. Supported by OpenDataScience, unoffical discussions are held in the #class_cs224n Slack channel.
Main links
- official course repository
- cs224n lectures 2019, playlist
- cs224n lecture notes
- Lectures and seminars by DeepPavlov, playlist 🇷🇺
- Telegram channel "DL in NLP Spring 2020" 🇷🇺
- DeepPavlov forum 🇷🇺
- Task grading FAQ 🇷🇺
- A list of useful resources from spring 2019 course session
Week 1. Word Vector Representations
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Lectures:
- Word Vector Representations (word2vec)
- Word Vectors and Word Senses (0:00-38:40, 58:00-1:20:00)
- cs231n lecture
- cs224n lecture notes
- FastText paper
- GloVe paper
- cs224n lecture on GloVe by Richard Socher (2nd author)
- a lecture on FastText by Facebook
- A particuliarly good tutorial on word2vec by Chris McCormick: part1, part2
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Quiz 1 due on Feb 10th, 9am Moscow time.
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Quiz 2 due on Feb 17th, 9am Moscow time.
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** Assignment 1.** Github Classroom invitation link. Due on Feb 18th, 00:00 MST.
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Assignment 2. Studying word embeddings and implemeting word2vec. Github Classroom invitation link. Due on March 20th (extended), 23:59 Moscow time.
Weeks 2-4. Basics of neural networks
Week 5. RNNs and language models
Now that the official course repo is constantly updated, better to follow that one.
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