GetFreeCourses Co-Udemy-Data Science Transformers for Natural Language Processing

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Name:GetFreeCourses Co-Udemy-Data Science Transformers for Natural Language Processing

Infohash: 0C83610B6BD36929682B5042A3507E6C15D4ADE3

Total Size: 5.65 GB

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Last Updated: 2023-08-24 16:30:13 (Update Now)

Torrent added: 2023-08-24 16:30:09

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Torrent Files List

1. Welcome (Size: 5.65 GB) (Files: 267)

1. Welcome

1. Introduction.mp4

34.60 MB

1. Introduction.srt

5.63 KB

2. Outline.mp4

50.65 MB

2. Outline.srt

13.51 KB

10. Extras

1. Data Links.html

0.25 KB

11. Setting Up Your Environment FAQ

1. Anaconda Environment Setup.mp4

52.64 MB

1. Anaconda Environment Setup.srt

20.13 KB

2. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.mp4

43.61 MB

2. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.srt

15.81 KB

GetFreeCourses.Co.url

0.11 KB

12. Extra Help With Python Coding for Beginners FAQ

1. How to Code by Yourself (part 1).mp4

71.84 MB

1. How to Code by Yourself (part 1).srt

23.13 KB

2. How to Code by Yourself (part 2).mp4

49.14 MB

2. How to Code by Yourself (part 2).srt

13.24 KB

3. Proof that using Jupyter Notebook is the same as not using it.mp4

69.42 MB

3. Proof that using Jupyter Notebook is the same as not using it.srt

14.92 KB

13. Effective Learning Strategies for Machine Learning FAQ

1. How to Succeed in this Course (Long Version).mp4

17.87 MB

1. How to Succeed in this Course (Long Version).srt

14.55 KB

2. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.mp4

38.96 MB

2. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.srt

32.69 KB

3. Machine Learning and AI Prerequisite Roadmap (pt 1).mp4

79.66 MB

3. Machine Learning and AI Prerequisite Roadmap (pt 1).srt

17.14 KB

4. Machine Learning and AI Prerequisite Roadmap (pt 2).mp4

108.17 MB

4. Machine Learning and AI Prerequisite Roadmap (pt 2).srt

23.93 KB

GetFreeCourses.Co.url

0.11 KB

14. Appendix FAQ Finale

1. What is the Appendix.mp4

16.37 MB

1. What is the Appendix.srt

3.88 KB

2. BONUS.mp4

39.92 MB

2. BONUS.srt

7.94 KB

2. Getting Setup

1. Get Your Hands Dirty, Practical Coding Experience, Data Links.mp4

43.55 MB

1. Get Your Hands Dirty, Practical Coding Experience, Data Links.srt

11.99 KB

1.1 Data Links.html

0.15 KB

1.2 Github Link.html

0.14 KB

2. How to use Github & Extra Coding Tips (Optional).mp4

63.90 MB

2. How to use Github & Extra Coding Tips (Optional).srt

15.71 KB

3. Where to get the code, notebooks, and data.mp4

17.77 MB

3. Where to get the code, notebooks, and data.srt

4.29 KB

3.1 Code Link.html

0.12 KB

3.2 Data Links.html

0.15 KB

3.3 Github Link.html

0.14 KB

4. Are You Beginner, Intermediate, or Advanced All are OK!.mp4

26.74 MB

4. Are You Beginner, Intermediate, or Advanced All are OK!.srt

7.14 KB

5. How to Succeed in This Course.mp4

41.19 MB

5. How to Succeed in This Course.srt

13.03 KB

3. Beginner's Corner

1. Beginner's Corner Section Introduction.mp4

49.75 MB

1. Beginner's Corner Section Introduction.srt

15.06 KB

10. Named Entity Recognition (NER) in Python.mp4

70.24 MB

10. Named Entity Recognition (NER) in Python.srt

9.63 KB

11. Text Summarization.mp4

24.15 MB

11. Text Summarization.srt

7.08 KB

12. Text Summarization in Python.mp4

45.47 MB

12. Text Summarization in Python.srt

7.55 KB

13. Neural Machine Translation.mp4

28.10 MB

13. Neural Machine Translation.srt

8.15 KB

14. Neural Machine Translation in Python.mp4

64.10 MB

14. Neural Machine Translation in Python.srt

9.72 KB

15. Question Answering.mp4

40.10 MB

15. Question Answering.srt

10.03 KB

16. Question Answering in Python.mp4

48.15 MB

16. Question Answering in Python.srt

6.97 KB

17. Zero-Shot Classification.mp4

30.12 MB

17. Zero-Shot Classification.srt

7.60 KB

18. Zero-Shot Classification in Python.mp4

87.61 MB

18. Zero-Shot Classification in Python.srt

16.41 KB

19. Beginner's Corner Section Summary.mp4

23.18 MB

19. Beginner's Corner Section Summary.srt

6.39 KB

2. From RNNs to Attention and Transformers - Intuition.mp4

78.20 MB

2. From RNNs to Attention and Transformers - Intuition.srt

24.01 KB

20. Suggestion Box.mp4

27.17 MB

20. Suggestion Box.srt

4.82 KB

3. Sentiment Analysis.mp4

53.60 MB

3. Sentiment Analysis.srt

14.55 KB

4. Sentiment Analysis in Python.mp4

97.05 MB

4. Sentiment Analysis in Python.srt

21.12 KB

5. Text Generation.mp4

57.10 MB

5. Text Generation.srt

15.45 KB

6. Text Generation in Python.mp4

86.35 MB

6. Text Generation in Python.srt

14.92 KB

7. Masked Language Modeling (Article Spinner).mp4

67.29 MB

7. Masked Language Modeling (Article Spinner).srt

16.12 KB

8. Masked Language Modeling (Article Spinner) in Python.mp4

67.09 MB

8. Masked Language Modeling (Article Spinner) in Python.srt

9.24 KB

9. Named Entity Recognition (NER).mp4

22.02 MB

9. Named Entity Recognition (NER).srt

6.24 KB

4. Fine-Tuning (Intermediate)

1. Fine-Tuning Section Introduction.mp4

20.16 MB

1. Fine-Tuning Section Introduction.srt

6.14 KB

10. Fine-Tuning Transformers with Custom Dataset.mp4

106.85 MB

10. Fine-Tuning Transformers with Custom Dataset.srt

15.10 KB

11. Hugging Face AutoConfig.mp4

40.86 MB

11. Hugging Face AutoConfig.srt

6.03 KB

12. Fine-Tuning with Multiple Inputs (Textual Entailment).mp4

28.42 MB

12. Fine-Tuning with Multiple Inputs (Textual Entailment).srt

10.32 KB

13. Fine-Tuning Transformers with Multiple Inputs in Python.mp4

56.66 MB

13. Fine-Tuning Transformers with Multiple Inputs in Python.srt

6.62 KB

14. Fine-Tuning Section Summary.mp4

15.78 MB

14. Fine-Tuning Section Summary.srt

4.11 KB

2. Text Preprocessing and Tokenization Review.mp4

63.16 MB

2. Text Preprocessing and Tokenization Review.srt

18.22 KB

3. Models and Tokenizers.mp4

64.57 MB

3. Models and Tokenizers.srt

20.60 KB

4. Models and Tokenizers in Python.mp4

84.26 MB

4. Models and Tokenizers in Python.srt

14.12 KB

5. Transfer Learning & Fine-Tuning (pt 1).mp4

59.83 MB

5. Transfer Learning & Fine-Tuning (pt 1).srt

12.69 KB

6. Transfer Learning & Fine-Tuning (pt 2).mp4

49.31 MB

6. Transfer Learning & Fine-Tuning (pt 2).srt

14.58 KB

7. Transfer Learning & Fine-Tuning (pt 3).mp4

56.66 MB

7. Transfer Learning & Fine-Tuning (pt 3).srt

13.67 KB

8. Fine-Tuning Sentiment Analysis and the GLUE Benchmark.mp4

58.43 MB

8. Fine-Tuning Sentiment Analysis and the GLUE Benchmark.srt

16.85 KB

9. Fine-Tuning Sentiment Analysis in Python.mp4

130.77 MB

9. Fine-Tuning Sentiment Analysis in Python.srt

19.29 KB

GetFreeCourses.Co.url

0.11 KB

5. Named Entity Recognition (NER) and POS Tagging (Intermediate)

1. Token Classification Section Introduction.mp4

35.82 MB

1. Token Classification Section Introduction.srt

9.59 KB

10. Metrics (Code).mp4

39.34 MB

10. Metrics (Code).srt

6.09 KB

11. Model and Trainer (Code Preparation).mp4

10.79 MB

11. Model and Trainer (Code Preparation).srt

2.91 KB

12. Model and Trainer (Code).mp4

22.18 MB

12. Model and Trainer (Code).srt

3.12 KB

13. POS Tagging & Custom Datasets (Exercise Prompt).mp4

21.33 MB

13. POS Tagging & Custom Datasets (Exercise Prompt).srt

6.85 KB

14. POS Tagging & Custom Datasets (Solution).mp4

115.13 MB

14. POS Tagging & Custom Datasets (Solution).srt

17.90 KB

15. Token Classification Section Summary.mp4

8.04 MB

15. Token Classification Section Summary.srt

2.60 KB

2. Data & Tokenizer (Code Preparation).mp4

19.34 MB

2. Data & Tokenizer (Code Preparation).srt

6.81 KB

3. Data & Tokenizer (Code).mp4

42.75 MB

3. Data & Tokenizer (Code).srt

9.20 KB

4. Target Alignment (Code Preparation).mp4

43.02 MB

4. Target Alignment (Code Preparation).srt

13.76 KB

5. Create Tokenized Dataset (Code Preparation).mp4

18.34 MB

5. Create Tokenized Dataset (Code Preparation).srt

5.00 KB

6. Target Alignment (Code).mp4

61.65 MB

6. Target Alignment (Code).srt

11.86 KB

7. Data Collator (Code Preparation).mp4

22.10 MB

7. Data Collator (Code Preparation).srt

4.92 KB

8. Data Collator (Code).mp4

16.94 MB

8. Data Collator (Code).srt

3.70 KB

9. Metrics (Code Preparation).mp4

33.44 MB

9. Metrics (Code Preparation).srt

9.13 KB

6. Seq2Seq and Neural Machine Translation (Intermediate)

1. Translation Section Introduction.mp4

18.20 MB

1. Translation Section Introduction.srt

6.35 KB

10. Train & Evaluate (Code Preparation).mp4

21.27 MB

10. Train & Evaluate (Code Preparation).srt

5.62 KB

11. Train & Evaluate (Code).mp4

35.74 MB

11. Train & Evaluate (Code).srt

4.64 KB

12. Translation Section Summary.mp4

9.77 MB

12. Translation Section Summary.srt

3.30 KB

2. Data & Tokenizer (Code Preparation).mp4

24.53 MB

2. Data & Tokenizer (Code Preparation).srt

7.50 KB

3. Things Move Fast.mp4

6.09 MB

3. Things Move Fast.srt

2.36 KB

4. Data & Tokenizer (Code).mp4

34.12 MB

4. Data & Tokenizer (Code).srt

6.44 KB

5. Aside Seq2Seq Basics (Optional).mp4

37.06 MB

5. Aside Seq2Seq Basics (Optional).srt

15.25 KB

6. Model Inputs (Code Preparation).mp4

32.41 MB

6. Model Inputs (Code Preparation).srt

11.21 KB

7. Model Inputs (Code).mp4

51.41 MB

7. Model Inputs (Code).srt

7.78 KB

8. Translation Metrics (BLEU Score & BERT Score) (Code Preparation).mp4

19.28 MB

8. Translation Metrics (BLEU Score & BERT Score) (Code Preparation).srt

4.96 KB

9. Translation Metrics (BLEU Score & BERT Score) (Code).mp4

43.32 MB

9. Translation Metrics (BLEU Score & BERT Score) (Code).srt

6.33 KB

7. Question-Answering (Advanced)

1. Question-Answering Section Introduction.mp4

21.52 MB

1. Question-Answering Section Introduction.srt

6.11 KB

10. Question-Answering Metrics.mp4

16.50 MB

10. Question-Answering Metrics.srt

4.71 KB

11. Question-Answering Metrics in Python.mp4

22.88 MB

11. Question-Answering Metrics in Python.srt

2.98 KB

12. From Logits to Answers.mp4

95.56 MB

12. From Logits to Answers.srt

27.71 KB

13. From Logits to Answers in Python.mp4

120.62 MB

13. From Logits to Answers in Python.srt

16.89 KB

14. Computing Metrics.mp4

24.94 MB

14. Computing Metrics.srt

6.62 KB

15. Computing Metrics in Python.mp4

44.26 MB

15. Computing Metrics in Python.srt

6.08 KB

16. Train and Evaluate.mp4

14.07 MB

16. Train and Evaluate.srt

3.32 KB

17. Train and Evaluate in Python.mp4

37.80 MB

17. Train and Evaluate in Python.srt

4.67 KB

18. Question-Answering Section Summary.mp4

14.24 MB

18. Question-Answering Section Summary.srt

5.04 KB

2. Exploring the Dataset (SQuAD).mp4

20.16 MB

2. Exploring the Dataset (SQuAD).srt

5.68 KB

3. Exploring the Dataset (SQuAD) in Python.mp4

39.85 MB

3. Exploring the Dataset (SQuAD) in Python.srt

4.66 KB

4. Using the Tokenizer.mp4

34.52 MB

4. Using the Tokenizer.srt

10.82 KB

5. Using the Tokenizer in Python.mp4

72.13 MB

5. Using the Tokenizer in Python.srt

13.08 KB

6. Aligning the Targets.mp4

69.08 MB

6. Aligning the Targets.srt

19.33 KB

7. Aligning the Targets in Python.mp4

103.33 MB

7. Aligning the Targets in Python.srt

18.83 KB

8. Applying the Tokenizer.mp4

45.05 MB

8. Applying the Tokenizer.srt

12.29 KB

9. Applying the Tokenizer in Python.mp4

76.50 MB

9. Applying the Tokenizer in Python.srt

12.03 KB

GetFreeCourses.Co.url

0.11 KB

8. Transformers and Attention Theory (Advanced)

1. Theory Section Introduction.mp4

17.14 MB

1. Theory Section Introduction.srt

6.88 KB

10. Decoder Architecture.mp4

49.61 MB

10. Decoder Architecture.srt

14.61 KB

11. Encoder-Decoder Architecture.mp4

39.70 MB

11. Encoder-Decoder Architecture.srt

11.36 KB

12. BERT.mp4

23.25 MB

12. BERT.srt

6.12 KB

13. GPT.mp4

31.17 MB

13. GPT.srt

8.65 KB

14. GPT-2.mp4

29.67 MB

14. GPT-2.srt

8.27 KB

15. GPT-3.mp4

23.99 MB

15. GPT-3.srt

6.57 KB

16. Theory Section Summary.mp4

21.00 MB

16. Theory Section Summary.srt

6.29 KB

2. Basic Self-Attention.mp4

36.97 MB

2. Basic Self-Attention.srt

12.44 KB

3. Self-Attention & Scaled Dot-Product Attention.mp4

64.27 MB

3. Self-Attention & Scaled Dot-Product Attention.srt

23.94 KB

4. Attention Efficiency.mp4

21.57 MB

4. Attention Efficiency.srt

5.86 KB

5. Attention Mask.mp4

15.11 MB

5. Attention Mask.srt

5.04 KB

6. Multi-Head Attention.mp4

33.71 MB

6. Multi-Head Attention.srt

9.35 KB

7. Transformer Block.mp4

29.50 MB

7. Transformer Block.srt

9.53 KB

8. Positional Encodings.mp4

29.03 MB

8. Positional Encodings.srt

9.46 KB

9. Encoder Architecture.mp4

25.21 MB

9. Encoder Architecture.srt

8.63 KB

9. Implement Transformers From Scratch (Advanced)

1. Implementation Section Introduction.mp4

25.60 MB

1. Implementation Section Introduction.srt

8.49 KB

10. How to Train a Causal Language Model From Scratch.mp4

120.37 MB

10. How to Train a Causal Language Model From Scratch.srt

20.12 KB

11. Implement a Seq2Seq Transformer From Scratch for Language Translation (pt 1).mp4

93.99 MB

11. Implement a Seq2Seq Transformer From Scratch for Language Translation (pt 1).srt

13.39 KB

12. Implement a Seq2Seq Transformer From Scratch for Language Translation (pt 2).mp4

95.19 MB

12. Implement a Seq2Seq Transformer From Scratch for Language Translation (pt 2).srt

14.97 KB

13. Implement a Seq2Seq Transformer From Scratch for Language Translation (pt 3).mp4

108.62 MB

13. Implement a Seq2Seq Transformer From Scratch for Language Translation (pt 3).srt

17.47 KB

14. Implementation Section Summary.mp4

10.59 MB

14. Implementation Section Summary.srt

1.99 KB

2. Encoder Implementation Plan & Outline.mp4

23.02 MB

2. Encoder Implementation Plan & Outline.srt

8.37 KB

3. How to Implement Multihead Attention From Scratch.mp4

93.41 MB

3. How to Implement Multihead Attention From Scratch.srt

15.50 KB

4. How to Implement the Transformer Block From Scratch.mp4

14.94 MB

4. How to Implement the Transformer Block From Scratch.srt

2.36 KB

5. How to Implement Positional Encoding From Scratch.mp4

35.87 MB

5. How to Implement Positional Encoding From Scratch.srt

6.26 KB

6. How to Implement Transformer Encoder From Scratch.mp4

27.03 MB

6. How to Implement Transformer Encoder From Scratch.srt

4.82 KB

7. Train and Evaluate Encoder From Scratch.mp4

89.33 MB

7. Train and Evaluate Encoder From Scratch.srt

12.30 KB

8. How to Implement Causal Self-Attention From Scratch.mp4

39.20 MB

8. How to Implement Causal Self-Attention From Scratch.srt

5.68 KB

9. How to Implement a Transformer Decoder (GPT) From Scratch.mp4

27.30 MB

9. How to Implement a Transformer Decoder (GPT) From Scratch.srt

4.86 KB

Download Paid Udemy Courses For Free.url

0.11 KB

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How you can help GetFreeCourses.Co.txt

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