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

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1. Introduction
  • 1. Welcome! NLP introduction & course overview.mp4 (46.4 MB)
  • 1. Welcome! NLP introduction & course overview.srt (9.7 KB)
  • 2. Course curriculum, Colab toolkit and data links.html (1.5 KB)
  • 3. BONUS Learning Path.html (1.8 KB)
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2. CNN for NLP - Intuition
  • 1. Introduction.mp4 (16.9 MB)
  • 1. Introduction.srt (3.5 KB)
  • 2. Basic CNN.mp4 (54.1 MB)
  • 2. Basic CNN.srt (20.3 KB)
  • 3. Image to text.mp4 (55.6 MB)
  • 3. Image to text.srt (16.2 KB)
  • 4. Image for word embedding from the session 7.html (0.3 KB)
  • 5. CNN for NLP.mp4 (36.2 MB)
  • 5. CNN for NLP.srt (10.5 KB)
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3. CNN for NLP - Application (sentimental analysis)
  • 1. Introduction.mp4 (15.2 MB)
  • 1. Introduction.srt (3.3 KB)
  • 2. Dependencies.mp4 (13.9 MB)
  • 2. Dependencies.srt (3.5 KB)
  • 3. Loading Files.mp4 (29.9 MB)
  • 3. Loading Files.srt (5.8 KB)
  • 4. Cleaning.mp4 (42.5 MB)
  • 4. Cleaning.srt (9.2 KB)
  • 5. Inputs creation.mp4 (43.6 MB)
  • 5. Inputs creation.srt (11.9 KB)
  • 6. Model.mp4 (75.0 MB)
  • 6. Model.srt (14.7 KB)
  • 7. Configuration.mp4 (7.6 MB)
  • 7. Configuration.srt (1.9 KB)
  • 8. Training.mp4 (36.0 MB)
  • 8. Training.srt (8.1 KB)
  • 9. Evaluation.mp4 (16.6 MB)
  • 9. Evaluation.srt (4.9 KB)
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4. Transformer - Intuition
  • 1. Introduction.mp4 (22.9 MB)
  • 1. Introduction.srt (4.9 KB)
  • 2. Old fashioned.mp4 (48.9 MB)
  • 2. Old fashioned.srt (14.3 KB)
  • 3. General understanding.mp4 (55.3 MB)
  • 3. General understanding.srt (18.4 KB)
  • 4. Attention.mp4 (143.2 MB)
  • 4. Attention.srt (41.6 KB)
  • 5. Positional encoding.mp4 (34.2 MB)
  • 5. Positional encoding.srt (9.2 KB)
  • 6. Last details.mp4 (40.6 MB)
  • 6. Last details.srt (11.8 KB)
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5. Transformer - Application
  • 1. Introduction.mp4 (28.0 MB)
  • 1. Introduction.srt (5.8 KB)
  • 10. Multi head attention.mp4 (100.0 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 (70.0 MB)
  • 15. Evaluation.srt (13.9 KB)
  • 2. Dependencies.mp4 (17.4 MB)
  • 2. Dependencies.srt (3.6 KB)
  • 3. Loading Files.mp4 (28.9 MB)
  • 3. Loading Files.srt (5.3 KB)
  • 4. Cleaning.mp4 (70.5 MB)
  • 4. Cleaning.srt (12.9 KB)
  • 5. Tokenizing.mp4 (34.7 MB)
  • 5. Tokenizing.srt (6.9 KB)
  • 6. Max Length.mp4 (27.1 MB)
  • 6. Max Length.srt (6.3 KB)
  • 7. Inputs Creation.mp4 (24.7 MB)
  • 7. Inputs Creation.srt (5.0 KB)
  • 8. Positional encoding.mp4 (60.5 MB)
  • 8. Positional encoding.srt (13.6 KB)
  • 9. Scaled dot product attention.mp4 (29.6 MB)
  • 9. Scaled dot product attention.srt (6.7 KB)
  • [CourseClub.Me].url (0.0 KB)
  • [DesireCourse.Net].url (0.0 KB)
  • [CourseClub.Me].url (0.0 KB)
  • [DesireCourse.Net].url (0.0 KB)

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

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1.8 GB
seeders:1
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Udemy - Modern Natural Language Processing in Python [Desire Course]

Torrent hash: 2C98ED1BE8AED64922A431D3A5ECF854E263467C