Introduction to Transformer Models for NLP Using BERT, GPT, and More to Solve Modern Natural Language Processing Tasks

Introduction to Transformer Models for NLP Using BERT GPT and More to Solve Modern Natural Language Processing Tasks

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File List:

  1. Lesson 09 Further Applications of BERT + GPT/002. 9.1 Siamese BERT-networks for semantic searching.mp4 174.23 MB
  2. Lesson 06 Hands-on BERT/003. 6.2 BERT for sequence classification.mp4 171.65 MB
  3. Lesson 12 The Vision Transformer/003. 12.2 Fine-tuning an image captioning system.mp4 148.68 MB
  4. Lesson 08 Hands-on GPT/003. 8.2 GPT for code dictation.mp4 118.73 MB
  5. Lesson 06 Hands-on BERT/005. 6.4 BERT for questionanswering.mp4 106.59 MB
  6. Lesson 09 Further Applications of BERT + GPT/003. 9.2 Teaching GPT multiple tasks at once with prompt engineering.mp4 99.74 MB
  7. Lesson 04 Natural Language Understanding with BERT/003. 4.2 Wordpiece tokenization.mp4 96.55 MB
  8. Lesson 07 Natural Language Generation with GPT/003. 7.2 Masked multi-headed attention.mp4 90.35 MB
  9. Lesson 06 Hands-on BERT/004. 6.3 BERT for token classification.mp4 89.58 MB
  10. Lesson 11 Hands-on T5/003. 11.2 Using T5 for abstractive summarization.mp4 83.99 MB
  11. Lesson 13 Deploying Transformer Models/003. 13.2 Sharing our models on HuggingFace.mp4 82.44 MB
  12. Lesson 04 Natural Language Understanding with BERT/002. 4.1 Introduction to BERT.mp4 81.43 MB
  13. Lesson 02 How Transformers Use Attention to Process Text/003. 2.2 Scaled dot product attention.mp4 81.32 MB
  14. Lesson 02 How Transformers Use Attention to Process Text/004. 2.3 Multi-headed attention.mp4 75.47 MB
  15. Lesson 08 Hands-on GPT/002. 8.1 GPT for style completion.mp4 72.21 MB
  16. Lesson 07 Natural Language Generation with GPT/002. 7.1 Introduction to the GPT family.mp4 70.31 MB
  17. Lesson 11 Hands-on T5/002. 11.1 Off the shelf results with T5.mp4 69.94 MB
  18. Lesson 07 Natural Language Generation with GPT/005. 7.4 Few-shot learning.mp4 66.33 MB
  19. z.oreilly-transformers-video-series-main/data/toxic.csv 65.62 MB
  20. Lesson 04 Natural Language Understanding with BERT/004. 4.3 The many embeddings of BERT.mp4 60.64 MB
  21. Lesson 13 Deploying Transformer Models/004. 13.3 Deploying a fine-tuned BERT model using FastAPI.mp4 57.45 MB
  22. Lesson 05 Pre-training and Fine-tuning BERT/004. 5.3 Fine-tuning BERT to solve NLP tasks.mp4 56.48 MB
  23. Lesson 12 The Vision Transformer/002. 12.1 Introduction to the Vision Transformer (ViT).mp4 54.24 MB
  24. Lesson 13 Deploying Transformer Models/002. 13.1 Introduction to MLOps.mp4 53.41 MB
  25. Lesson 05 Pre-training and Fine-tuning BERT/002. 5.1 The Masked Language Modeling Task.mp4 51.48 MB
  26. Lesson 06 Hands-on BERT/002. 6.1 Flavors of BERT.mp4 48.29 MB
  27. Lesson 03 Transfer Learning/002. 3.1 Introduction to Transfer Learning.mp4 47.27 MB
  28. Lesson 03 Transfer Learning/003. 3.2 Introduction to PyTorch.mp4 46.55 MB
  29. Lesson 05 Pre-training and Fine-tuning BERT/003. 5.2 The Next Sentence Prediction Task.mp4 46.07 MB
  30. Lesson 07 Natural Language Generation with GPT/004. 7.3 Pre-training GPT.mp4 37.08 MB
  31. z.oreilly-transformers-video-series-main/notebooks/12 Vision_transformer.ipynb 31.81 MB
  32. z.oreilly-transformers-video-series-main/notebooks/.ipynb_checkpoints/12 Vision_transformer-checkpoint.ipynb 31.81 MB
  33. Lesson 01 Introduction to Attention and Language Models/002. 1.1 A brief history of NLP.mp4 29.51 MB
  34. Lesson 01 Introduction to Attention and Language Models/003. 1.2 Paying attention with attention.mp4 26.58 MB
  35. Lesson 10 T5 - Back to Basics/002. 10.1 Encoders and decoders welcome T5 s architecture.mp4 24.46 MB
  36. Lesson 01 Introduction to Attention and Language Models/005. 1.4 How language models look at text.mp4 24.25 MB
  37. z.oreilly-transformers-video-series-main/data/qa.csv 23.87 MB
  38. Introduction/001. Introduction to Transformer Models for NLP Introduction.mp4 21.53 MB
  39. Lesson 01 Introduction to Attention and Language Models/004. 1.3 Encoder-decoder architectures.mp4 20.72 MB
  40. Lesson 03 Transfer Learning/004. 3.3 Fine-tuning transformers with PyTorch.mp4 18.86 MB
  41. Lesson 10 T5 - Back to Basics/003. 10.2 Cross-attention.mp4 18.25 MB
  42. z.oreilly-transformers-video-series-main/data/reviews.csv 13.20 MB
  43. Summary/001. Introduction to Transformer Models for NLP Summary.mp4 11.73 MB
  44. Lesson 02 How Transformers Use Attention to Process Text/002. 2.1 Introduction to transformers.mp4 8.33 MB
  45. z.oreilly-transformers-video-series-main/data/rocks.jpg 7.38 MB
  46. z.oreilly-transformers-video-series-main/notebooks/2 Transformers.ipynb 7.37 MB
  47. z.oreilly-transformers-video-series-main/notebooks/.ipynb_checkpoints/2 Transformers-checkpoint.ipynb 7.37 MB
  48. Lesson 02 How Transformers Use Attention to Process Text/001. Topics.mp4 7.33 MB
  49. Lesson 01 Introduction to Attention and Language Models/001. Topics.mp4 5.78 MB
  50. Lesson 07 Natural Language Generation with GPT/001. Topics.mp4 5.73 MB