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Udemy - Modern Natural Language Processing in Python [Desire Course]

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Udemy - Modern Natural Language Processing in Python [Desire Course] (Size: 1.8 GB)
  1. Introduction.mp4 28 MB
  1. Introduction.srt 5.8 KB
  1. Welcome! NLP introduction & course overview.mp4 46.4 MB
  1. Welcome! NLP introduction & course overview.srt 9.7 KB
  10. Multi head attention.mp4 100 MB
  10. Multi head attention.srt 15.4 KB
  11. Encoder.mp4 110.6 MB
  11. Encoder.srt 18.4 KB
  12. Decoder.mp4 115.2 MB
  12. Decoder.srt 17.1 KB
  13. Transformer.mp4 147.5 MB
  13. Transformer.srt 25.2 KB
  14. Training.mp4 173.6 MB
  14. Training.srt 27.2 KB
  15. Evaluation.mp4 70 MB
  15. Evaluation.srt 13.9 KB
  2. Basic CNN.mp4 54.1 MB
  2. Basic CNN.srt 20.3 KB
  2. Course curriculum, Colab toolkit and data links.html 1.5 KB
  2. Dependencies.mp4 17.4 MB
  2. Dependencies.srt 3.6 KB
  2. Old fashioned.mp4 48.9 MB
  2. Old fashioned.srt 14.3 KB
  3. BONUS Learning Path.html 1.8 KB
  3. General understanding.mp4 55.3 MB
  3. General understanding.srt 18.4 KB
  3. Image to text.mp4 55.6 MB
  3. Image to text.srt 16.2 KB
  3. Loading Files.mp4 28.9 MB
  3. Loading Files.srt 5.3 KB
  4. Attention.mp4 143.2 MB
  4. Attention.srt 41.6 KB
  4. Cleaning.mp4 70.5 MB
  4. Cleaning.srt 12.9 KB
  4. Image for word embedding from the session 7.html 307 B
  5. CNN for NLP.mp4 36.2 MB
  5. CNN for NLP.srt 10.5 KB
  5. Inputs creation.mp4 43.6 MB
  5. Inputs creation.srt 11.9 KB
  5. Positional encoding.mp4 34.2 MB
  5. Positional encoding.srt 9.2 KB
  5. Tokenizing.mp4 34.7 MB
  5. Tokenizing.srt 6.9 KB
  6. Last details.mp4 40.6 MB
  6. Last details.srt 11.8 KB
  6. Max Length.mp4 27.1 MB
  6. Max Length.srt 6.3 KB
  6. Model.mp4 75 MB
  6. Model.srt 14.7 KB
  7. Configuration.mp4 7.6 MB
  7. Configuration.srt 1.9 KB
  7. Inputs Creation.mp4 24.7 MB
  7. Inputs Creation.srt 5 KB
  8. Positional encoding.mp4 60.5 MB
  8. Positional encoding.srt 13.6 KB
  8. Training.mp4 36 MB
  8. Training.srt 8.1 KB
  9. Evaluation.mp4 16.6 MB
  9. Evaluation.srt 4.9 KB
  9. Scaled dot product attention.mp4 29.6 MB
  9. Scaled dot product attention.srt 6.7 KB
  [CourseClub.Me].url 0 B
  [DesireCourse.Net].url 0 B
  ▲ 87 total files

Description


Modern Natural Language Processing in Python

Solve Seq2Seq and Classification NLP tasks with Transformer and CNN using Tensorflow 2 in Google Colab.

Created by Martin Jocqueviel, Kirill Eremenko, Hadelin de Ponteves, SuperDataScience Team
Last updated 5/2020
English
English [Auto-generated]

For More Courses Visit: https://desirecourse.net

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