Rezultati pretraživanja
  1. 4. sij

    Stanford CS224N: Natural Language Processing with Deep Learning is back for 2020, starting Jan 7, with over 500 students enrolled:

  2. 25. ožu 2019.

    ULMFit from + Data Augmentation with backtranslation can get 80+% validation accuracy using only 50 training examples on IMDB sentiment classification! Full paper for at . Thread below.

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  3. 22. srp 2019.
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  4. Videos are out for our Stanford lecture - Natural Language Processing with Deep Learning! With captions etc.

  5. 20. ožu 2019.

    and I take on the stock market. Check out our poster on how we incorporate Twitter data in attention-based models to asses the impact of SEC filings on stock prices 😀

  6. 3. tra 2017.

    Prize winners and papers from Stanford Natural Language Processing with Deep Learning 2017 are now posted:

  7. 22. tra 2019.
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  8. 22. ruj 2017.

    The deep learning lecture from Stanford is available online (videos and assignments). Very cool!

  9. 20. ožu 2019.

    BERT and ELMo are present improving

  10. 22. srp 2019.

    Want to learn Natural Language Processing with Deep Learning a.k.a. Artificial Neural Network methods? Stanford’s is launching an online professional version of our course with customized video content and online course assistant support:

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  11. 3. tra 2017.

    's delivers! At least 9 teams worked on data and show impressive results

  12. The amazing deep learning NLP project reports are out! Plus list of prize winners. Screenshots of subset:

  13. Predicting failure on super large log files of tests at nvidia with qrnn and pointer sentinel language models.

  14. "Keeping up with Natural Language Processing" - why some of us are working through from together.

  15. 22. srp 2019.

    Our and class is now available as an online course designed for working professionals! First cohort starts this September.

  16. 5. sij

    Best of luck to , (who is taking over from me as head TA and co-instructor) and all the TAs in teaching 2020! The course has evolved an incredible amount since its launch in 2017. Excited to see what's next!

  17. 21. ruj 2019.

    Took a few hours to write a native python program to implement Word2Vec skip-gram model 🙄 Thanks

  18. 9. kol 2019.

    Great summary of courses by ! My fav one is with Deep Learning taught by the great

  19. 24. srp 2019.

    No excuses! Even if you’re working full time, you now have a way to learn the cutting-edge of NLP from through

  20. 2. lip 2019.

    course is an absolute delight! Particularly love how assignments are structured. They're more like a manual with some DIY element. Similar to how mechanic kits and Lego toys are.

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