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Udemy Data Science Transformers for Natural Language Processing

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Uploader:

fcs0310

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1337x

Downloads:

625

Type:

Tutorials

Language:

English

Description:

None

Category:

Other

Size:

5.6 GB

Added:

Aug. 21, 2023, 4:46 p.m.

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Files:

[CourseClub.Me].url 122 bytes
[FreeCourseSite.com].url 127 bytes
[GigaCourse.Com].url 49 bytes
1. Introduction.mp4 34.6 MB
1. Introduction.srt 5.6 KB
2. Outline.mp4 50.7 MB
2. Outline.srt 13.5 KB
1. Data Links.html 256 bytes
1. Anaconda Environment Setup.mp4 52.6 MB
1. Anaconda Environment Setup.srt 20.1 KB
2. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.mp4 43.6 MB
2. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.srt 15.8 KB
1. How to Code by Yourself (part 1).mp4 71.8 MB
1. How to Code by Yourself (part 1).srt 23.1 KB
2. How to Code by Yourself (part 2).mp4 49.1 MB
2. How to Code by Yourself (part 2).srt 13.2 KB
3. Proof that using Jupyter Notebook is the same as not using it.mp4 69.4 MB
3. Proof that using Jupyter Notebook is the same as not using it.srt 14.9 KB
[CourseClub.Me].url 122 bytes
[FreeCourseSite.com].url 127 bytes
[GigaCourse.Com].url 49 bytes
1. How to Succeed in this Course (Long Version).mp4 17.9 MB
1. How to Succeed in this Course (Long Version).srt 14.5 KB
2. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.mp4 39.0 MB
2. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.srt 32.7 KB
3. Machine Learning and AI Prerequisite Roadmap (pt 1).mp4 79.7 MB
3. Machine Learning and AI Prerequisite Roadmap (pt 1).srt 17.1 KB
4. Machine Learning and AI Prerequisite Roadmap (pt 2).mp4 108.2 MB
4. Machine Learning and AI Prerequisite Roadmap (pt 2).srt 23.9 KB
1. What is the Appendix.mp4 16.4 MB
1. What is the Appendix.srt 3.9 KB
2. BONUS.mp4 39.9 MB
2. BONUS.srt 7.9 KB
1. Get Your Hands Dirty, Practical Coding Experience, Data Links.mp4 43.6 MB
1. Get Your Hands Dirty, Practical Coding Experience, Data Links.srt 12.0 KB
1.1 Data Links.html 157 bytes
1.2 Github Link.html 145 bytes
2. How to use Github & Extra Coding Tips (Optional).mp4 63.9 MB
2. How to use Github & Extra Coding Tips (Optional).srt 15.7 KB
3. Where to get the code, notebooks, and data.mp4 17.8 MB
3. Where to get the code, notebooks, and data.srt 4.3 KB
3.1 Code Link.html 125 bytes
3.2 Data Links.html 157 bytes
3.3 Github Link.html 145 bytes
4. Are You Beginner, Intermediate, or Advanced All are OK!.mp4 26.7 MB
4. Are You Beginner, Intermediate, or Advanced All are OK!.srt 7.1 KB
5. How to Succeed in This Course.mp4 41.2 MB
5. How to Succeed in This Course.srt 13.0 KB
1. Beginner's Corner Section Introduction.mp4 49.7 MB
1. Beginner's Corner Section Introduction.srt 15.1 KB
10. Named Entity Recognition (NER) in Python.mp4 70.2 MB
10. Named Entity Recognition (NER) in Python.srt 9.6 KB
11. Text Summarization.mp4 24.1 MB
11. Text Summarization.srt 7.1 KB
12. Text Summarization in Python.mp4 45.5 MB
12. Text Summarization in Python.srt 7.6 KB
13. Neural Machine Translation.mp4 28.1 MB
13. Neural Machine Translation.srt 8.1 KB
14. Neural Machine Translation in Python.mp4 64.1 MB
14. Neural Machine Translation in Python.srt 9.7 KB
15. Question Answering.mp4 40.1 MB
15. Question Answering.srt 10.0 KB
16. Question Answering in Python.mp4 48.2 MB
16. Question Answering in Python.srt 7.0 KB
17. Zero-Shot Classification.mp4 30.1 MB
17. Zero-Shot Classification.srt 7.6 KB
18. Zero-Shot Classification in Python.mp4 87.6 MB
18. Zero-Shot Classification in Python.srt 16.4 KB
19. Beginner's Corner Section Summary.mp4 23.2 MB
19. Beginner's Corner Section Summary.srt 6.4 KB
2. From RNNs to Attention and Transformers - Intuition.mp4 78.2 MB
2. From RNNs to Attention and Transformers - Intuition.srt 24.0 KB
20. Suggestion Box.mp4 27.2 MB
20. Suggestion Box.srt 4.8 KB
3. Sentiment Analysis.mp4 53.6 MB
3. Sentiment Analysis.srt 14.5 KB
4. Sentiment Analysis in Python.mp4 97.1 MB
4. Sentiment Analysis in Python.srt 21.1 KB
5. Text Generation.mp4 57.1 MB
5. Text Generation.srt 15.5 KB
6. Text Generation in Python.mp4 86.3 MB
6. Text Generation in Python.srt 14.9 KB
7. Masked Language Modeling (Article Spinner).mp4 67.3 MB
7. Masked Language Modeling (Article Spinner).srt 16.1 KB
8. Masked Language Modeling (Article Spinner) in Python.mp4 67.1 MB
8. Masked Language Modeling (Article Spinner) in Python.srt 9.2 KB
9. Named Entity Recognition (NER).mp4 22.0 MB
9. Named Entity Recognition (NER).srt 6.2 KB
[CourseClub.Me].url 122 bytes
[FreeCourseSite.com].url 127 bytes
[GigaCourse.Com].url 49 bytes
1. Fine-Tuning Section Introduction.mp4 20.2 MB
1. Fine-Tuning Section Introduction.srt 6.1 KB
10. Fine-Tuning Transformers with Custom Dataset.mp4 106.9 MB
10. Fine-Tuning Transformers with Custom Dataset.srt 15.1 KB
11. Hugging Face AutoConfig.mp4 40.9 MB
11. Hugging Face AutoConfig.srt 6.0 KB
12. Fine-Tuning with Multiple Inputs (Textual Entailment).mp4 28.4 MB
12. Fine-Tuning with Multiple Inputs (Textual Entailment).srt 10.3 KB
13. Fine-Tuning Transformers with Multiple Inputs in Python.mp4 56.7 MB
13. Fine-Tuning Transformers with Multiple Inputs in Python.srt 6.6 KB
14. Fine-Tuning Section Summary.mp4 15.8 MB
14. Fine-Tuning Section Summary.srt 4.1 KB
2. Text Preprocessing and Tokenization Review.mp4 63.2 MB
2. Text Preprocessing and Tokenization Review.srt 18.2 KB
3. Models and Tokenizers.mp4 64.6 MB
3. Models and Tokenizers.srt 20.6 KB
4. Models and Tokenizers in Python.mp4 84.3 MB
4. Models and Tokenizers in Python.srt 14.1 KB
5. Transfer Learning & Fine-Tuning (pt 1).mp4 59.8 MB
5. Transfer Learning & Fine-Tuning (pt 1).srt 12.7 KB
6. Transfer Learning & Fine-Tuning (pt 2).mp4 49.3 MB
6. Transfer Learning & Fine-Tuning (pt 2).srt 14.6 KB
7. Transfer Learning & Fine-Tuning (pt 3).mp4 56.7 MB
7. Transfer Learning & Fine-Tuning (pt 3).srt 13.7 KB
8. Fine-Tuning Sentiment Analysis and the GLUE Benchmark.mp4 58.4 MB
8. Fine-Tuning Sentiment Analysis and the GLUE Benchmark.srt 16.9 KB
9. Fine-Tuning Sentiment Analysis in Python.mp4 130.8 MB
9. Fine-Tuning Sentiment Analysis in Python.srt 19.3 KB
1. Token Classification Section Introduction.mp4 35.8 MB
1. Token Classification Section Introduction.srt 9.6 KB
10. Metrics (Code).mp4 39.3 MB
10. Metrics (Code).srt 6.1 KB
11. Model and Trainer (Code Preparation).mp4 10.8 MB
11. Model and Trainer (Code Preparation).srt 2.9 KB
12. Model and Trainer (Code).mp4 22.2 MB
12. Model and Trainer (Code).srt 3.1 KB
13. POS Tagging & Custom Datasets (Exercise Prompt).mp4 21.3 MB
13. POS Tagging & Custom Datasets (Exercise Prompt).srt 6.8 KB
14. POS Tagging & Custom Datasets (Solution).mp4 115.1 MB
14. POS Tagging & Custom Datasets (Solution).srt 17.9 KB
15. Token Classification Section Summary.mp4 8.0 MB
15. Token Classification Section Summary.srt 2.6 KB
2. Data & Tokenizer (Code Preparation).mp4 19.3 MB
2. Data & Tokenizer (Code Preparation).srt 6.8 KB
3. Data & Tokenizer (Code).mp4 42.7 MB
3. Data & Tokenizer (Code).srt 9.2 KB
4. Target Alignment (Code Preparation).mp4 43.0 MB
4. Target Alignment (Code Preparation).srt 13.8 KB
5. Create Tokenized Dataset (Code Preparation).mp4 18.3 MB
5. Create Tokenized Dataset (Code Preparation).srt 5.0 KB
6. Target Alignment (Code).mp4 61.7 MB
6. Target Alignment (Code).srt 11.9 KB
7. Data Collator (Code Preparation).mp4 22.1 MB
7. Data Collator (Code Preparation).srt 4.9 KB
8. Data Collator (Code).mp4 16.9 MB
8. Data Collator (Code).srt 3.7 KB
9. Metrics (Code Preparation).mp4 33.4 MB
9. Metrics (Code Preparation).srt 9.1 KB
1. Translation Section Introduction.mp4 18.2 MB
1. Translation Section Introduction.srt 6.4 KB
10. Train & Evaluate (Code Preparation).mp4 21.3 MB
10. Train & Evaluate (Code Preparation).srt 5.6 KB
11. Train & Evaluate (Code).mp4 35.7 MB
11. Train & Evaluate (Code).srt 4.6 KB
12. Translation Section Summary.mp4 9.8 MB
12. Translation Section Summary.srt 3.3 KB
2. Data & Tokenizer (Code Preparation).mp4 24.5 MB
2. Data & Tokenizer (Code Preparation).srt 7.5 KB
3. Things Move Fast.mp4 6.1 MB
3. Things Move Fast.srt 2.4 KB
4. Data & Tokenizer (Code).mp4 34.1 MB
4. Data & Tokenizer (Code).srt 6.4 KB
5. Aside Seq2Seq Basics (Optional).mp4 37.1 MB
5. Aside Seq2Seq Basics (Optional).srt 15.2 KB
6. Model Inputs (Code Preparation).mp4 32.4 MB
6. Model Inputs (Code Preparation).srt 11.2 KB
7. Model Inputs (Code).mp4 51.4 MB
7. Model Inputs (Code).srt 7.8 KB
8. Translation Metrics (BLEU Score & BERT Score) (Code Preparation).mp4 19.3 MB
8. Translation Metrics (BLEU Score & BERT Score) (Code Preparation).srt 5.0 KB
9. Translation Metrics (BLEU Score & BERT Score) (Code).mp4 43.3 MB
9. Translation Metrics (BLEU Score & BERT Score) (Code).srt 6.3 KB
1. Question-Answering Section Introduction.mp4 21.5 MB
1. Question-Answering Section Introduction.srt 6.1 KB
10. Question-Answering Metrics.mp4 16.5 MB
10. Question-Answering Metrics.srt 4.7 KB
11. Question-Answering Metrics in Python.mp4 22.9 MB
11. Question-Answering Metrics in Python.srt 3.0 KB
12. From Logits to Answers.mp4 95.6 MB
12. From Logits to Answers.srt 27.7 KB
13. From Logits to Answers in Python.mp4 120.6 MB
13. From Logits to Answers in Python.srt 16.9 KB
14. Computing Metrics.mp4 24.9 MB
14. Computing Metrics.srt 6.6 KB
15. Computing Metrics in Python.mp4 44.3 MB
15. Computing Metrics in Python.srt 6.1 KB
16. Train and Evaluate.mp4 14.1 MB
16. Train and Evaluate.srt 3.3 KB
17. Train and Evaluate in Python.mp4 37.8 MB
17. Train and Evaluate in Python.srt 4.7 KB
18. Question-Answering Section Summary.mp4 14.2 MB
18. Question-Answering Section Summary.srt 5.0 KB
2. Exploring the Dataset (SQuAD).mp4 20.2 MB
2. Exploring the Dataset (SQuAD).srt 5.7 KB
3. Exploring the Dataset (SQuAD) in Python.mp4 39.9 MB
3. Exploring the Dataset (SQuAD) in Python.srt 4.7 KB
4. Using the Tokenizer.mp4 34.5 MB
4. Using the Tokenizer.srt 10.8 KB
5. Using the Tokenizer in Python.mp4 72.1 MB
5. Using the Tokenizer in Python.srt 13.1 KB
6. Aligning the Targets.mp4 69.1 MB
6. Aligning the Targets.srt 19.3 KB
7. Aligning the Targets in Python.mp4 103.3 MB
7. Aligning the Targets in Python.srt 18.8 KB
8. Applying the Tokenizer.mp4 45.0 MB
8. Applying the Tokenizer.srt 12.3 KB
9. Applying the Tokenizer in Python.mp4 76.5 MB
9. Applying the Tokenizer in Python.srt 12.0 KB
[CourseClub.Me].url 122 bytes
[FreeCourseSite.com].url 127 bytes
[GigaCourse.Com].url 49 bytes
1. Theory Section Introduction.mp4 17.1 MB
1. Theory Section Introduction.srt 6.9 KB
10. Decoder Architecture.mp4 49.6 MB
10. Decoder Architecture.srt 14.6 KB
11. Encoder-Decoder Architecture.mp4 39.7 MB
11. Encoder-Decoder Architecture.srt 11.4 KB
12. BERT.mp4 23.3 MB
12. BERT.srt 6.1 KB
13. GPT.mp4 31.2 MB
13. GPT.srt 8.6 KB
14. GPT-2.mp4 29.7 MB
14. GPT-2.srt 8.3 KB
15. GPT-3.mp4 24.0 MB
15. GPT-3.srt 6.6 KB
16. Theory Section Summary.mp4 21.0 MB
16. Theory Section Summary.srt 6.3 KB
2. Basic Self-Attention.mp4 37.0 MB
2. Basic Self-Attention.srt 12.4 KB
3. Self-Attention & Scaled Dot-Product Attention.mp4 64.3 MB
3. Self-Attention & Scaled Dot-Product Attention.srt 23.9 KB
4. Attention Efficiency.mp4 21.6 MB
4. Attention Efficiency.srt 5.9 KB
5. Attention Mask.mp4 15.1 MB
5. Attention Mask.srt 5.0 KB
6. Multi-Head Attention.mp4 33.7 MB
6. Multi-Head Attention.srt 9.4 KB
7. Transformer Block.mp4 29.5 MB
7. Transformer Block.srt 9.5 KB
8. Positional Encodings.mp4 29.0 MB
8. Positional Encodings.srt 9.5 KB
9. Encoder Architecture.mp4 25.2 MB
9. Encoder Architecture.srt 8.6 KB
1. Implementation Section Introduction.mp4 25.6 MB
1. Implementation Section Introduction.srt 8.5 KB
10. How to Train a Causal Language Model From Scratch.mp4 120.4 MB
10. How to Train a Causal Language Model From Scratch.srt 20.1 KB
11. Implement a Seq2Seq Transformer From Scratch for Language Translation (pt 1).mp4 94.0 MB
11. Implement a Seq2Seq Transformer From Scratch for Language Translation (pt 1).srt 13.4 KB
12. Implement a Seq2Seq Transformer From Scratch for Language Translation (pt 2).mp4 95.2 MB
12. Implement a Seq2Seq Transformer From Scratch for Language Translation (pt 2).srt 15.0 KB
13. Implement a Seq2Seq Transformer From Scratch for Language Translation (pt 3).mp4 108.6 MB
13. Implement a Seq2Seq Transformer From Scratch for Language Translation (pt 3).srt 17.5 KB
14. Implementation Section Summary.mp4 10.6 MB
14. Implementation Section Summary.srt 2.0 KB
2. Encoder Implementation Plan & Outline.mp4 23.0 MB
2. Encoder Implementation Plan & Outline.srt 8.4 KB
3. How to Implement Multihead Attention From Scratch.mp4 93.4 MB
3. How to Implement Multihead Attention From Scratch.srt 15.5 KB
4. How to Implement the Transformer Block From Scratch.mp4 14.9 MB
4. How to Implement the Transformer Block From Scratch.srt 2.4 KB
5. How to Implement Positional Encoding From Scratch.mp4 35.9 MB
5. How to Implement Positional Encoding From Scratch.srt 6.3 KB
6. How to Implement Transformer Encoder From Scratch.mp4 27.0 MB
6. How to Implement Transformer Encoder From Scratch.srt 4.8 KB
7. Train and Evaluate Encoder From Scratch.mp4 89.3 MB
7. Train and Evaluate Encoder From Scratch.srt 12.3 KB
8. How to Implement Causal Self-Attention From Scratch.mp4 39.2 MB
8. How to Implement Causal Self-Attention From Scratch.srt 5.7 KB
9. How to Implement a Transformer Decoder (GPT) From Scratch.mp4 27.3 MB
9. How to Implement a Transformer Decoder (GPT) From Scratch.srt 4.9 KB

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