Это пробный урок. Оформите подписку, чтобы получить доступ ко всем материалам курса. Премиум

  1. Урок 1. 00:03:59
    Introduction
  2. Урок 2. 00:05:53
    Google Colab & Hugging Face
  3. Урок 3. 00:05:55
    Sentiment Analysis & Text Generation
  4. Урок 4. 00:04:39
    Zero-Shot Classification & Fill Mask
  5. Урок 5. 00:14:05
    Google Colab Setup & Configuration
  6. Урок 6. 00:10:36
    Pipeline Basics: Sentiment Analysis
  7. Урок 7. 00:12:41
    Model Contents & Text Generation
  8. Урок 8. 00:13:52
    Zero Shot Classification
  9. Урок 9. 00:11:59
    Question & Answer Models
  10. Урок 10. 00:07:57
    Fill-Mask with BERT
  11. Урок 11. 00:08:08
    Summarization & Named Entity Recognition
  12. Урок 12. 00:11:17
    Tokenization Overview
  13. Урок 13. 00:03:27
    Batches & Attention Masks
  14. Урок 14. 00:13:20
    Encoding & Decoding Text
  15. Урок 15. 00:06:10
    Batch Processing Multiple Strings
  16. Урок 16. 00:08:20
    Transformers Overview
  17. Урок 17. 00:10:44
    Transformers Q&A
  18. Урок 18. 00:10:28
    Attention Mechanism to Focus Model
  19. Урок 19. 00:05:58
    Encoder & Decoder Transformers
  20. Урок 20. 00:16:12
    Decoding Strategies for Text Generation
  21. Урок 21. 00:06:28
    Fine Tuning Overview
  22. Урок 22. 00:03:40
    Parameter-Specific Fine Tuning
  23. Урок 23. 00:08:44
    Preparing & Loading the Dataset
  24. Урок 24. 00:10:08
    The Fine-Tuning Process
  25. Урок 25. 00:07:14
    Stable Diffusion Overview
  26. Урок 26. 00:05:07
    Prompt Engineering for Images
  27. Урок 27. 00:17:33
    Generating Images with Stable Diffusion
  28. Урок 28. 00:10:28
    Image-to-Image Generation
  29. Урок 29. 00:14:51
    Training Stable Diffusion with DreamBooth
  30. Урок 30. 00:03:38
    Wrapping Up