Download Data Science: Transformers for Natural Language Processing Torrent

Torrent Contents Size: 5.65 GB

Data Science: Transformers for Natural Language Processing

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1. Welcome

1. Introduction.mp4	MP4	34.6 MB
1. Introduction.srt	SRT	5.63 KB
2. Outline.mp4	MP4	50.65 MB
2. Outline.srt	SRT	13.51 KB

10. Extras

1. Data Links.html

HTML

256 B

11. Setting Up Your Environment FAQ

1. Anaconda Environment Setup.mp4	MP4	52.64 MB
1. Anaconda Environment Setup.srt	SRT	20.13 KB
2. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.mp4	MP4	43.61 MB
2. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.srt	SRT	15.81 KB
GetFreeCourses.Co.url	URL	116 B

12. Extra Help With Python Coding for Beginners FAQ

1. How to Code by Yourself (part 1).mp4	MP4	71.84 MB
1. How to Code by Yourself (part 1).srt	SRT	23.13 KB
2. How to Code by Yourself (part 2).mp4	MP4	49.14 MB
2. How to Code by Yourself (part 2).srt	SRT	13.24 KB
3. Proof that using Jupyter Notebook is the same as not using it.mp4	MP4	69.42 MB
3. Proof that using Jupyter Notebook is the same as not using it.srt	SRT	14.92 KB

13. Effective Learning Strategies for Machine Learning FAQ

1. How to Succeed in this Course (Long Version).mp4	MP4	17.87 MB
1. How to Succeed in this Course (Long Version).srt	SRT	14.55 KB
2. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.mp4	MP4	38.96 MB
2. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.srt	SRT	32.69 KB
3. Machine Learning and AI Prerequisite Roadmap (pt 1).mp4	MP4	79.66 MB
3. Machine Learning and AI Prerequisite Roadmap (pt 1).srt	SRT	17.14 KB
4. Machine Learning and AI Prerequisite Roadmap (pt 2).mp4	MP4	108.17 MB
4. Machine Learning and AI Prerequisite Roadmap (pt 2).srt	SRT	23.93 KB
GetFreeCourses.Co.url	URL	116 B

14. Appendix FAQ Finale

1. What is the Appendix.mp4	MP4	16.37 MB
1. What is the Appendix.srt	SRT	3.88 KB
2. BONUS.mp4	MP4	39.92 MB
2. BONUS.srt	SRT	7.94 KB

2. Getting Setup

1. Get Your Hands Dirty, Practical Coding Experience, Data Links.mp4	MP4	43.55 MB
1. Get Your Hands Dirty, Practical Coding Experience, Data Links.srt	SRT	11.99 KB
1.1 Data Links.html	HTML	157 B
1.2 Github Link.html	HTML	145 B
2. How to use Github & Extra Coding Tips (Optional).mp4	MP4	63.9 MB
2. How to use Github & Extra Coding Tips (Optional).srt	SRT	15.71 KB
3. Where to get the code, notebooks, and data.mp4	MP4	17.77 MB
3. Where to get the code, notebooks, and data.srt	SRT	4.29 KB
3.1 Code Link.html	HTML	125 B
3.2 Data Links.html	HTML	157 B
3.3 Github Link.html	HTML	145 B
4. Are You Beginner, Intermediate, or Advanced All are OK!.mp4	MP4	26.74 MB
4. Are You Beginner, Intermediate, or Advanced All are OK!.srt	SRT	7.14 KB
5. How to Succeed in This Course.mp4	MP4	41.19 MB
5. How to Succeed in This Course.srt	SRT	13.03 KB

3. Beginner's Corner

1. Beginner's Corner Section Introduction.mp4	MP4	49.75 MB
1. Beginner's Corner Section Introduction.srt	SRT	15.06 KB
10. Named Entity Recognition (NER) in Python.mp4	MP4	70.24 MB
10. Named Entity Recognition (NER) in Python.srt	SRT	9.63 KB
11. Text Summarization.mp4	MP4	24.15 MB
11. Text Summarization.srt	SRT	7.08 KB
12. Text Summarization in Python.mp4	MP4	45.47 MB
12. Text Summarization in Python.srt	SRT	7.55 KB
13. Neural Machine Translation.mp4	MP4	28.1 MB
13. Neural Machine Translation.srt	SRT	8.15 KB
14. Neural Machine Translation in Python.mp4	MP4	64.1 MB
14. Neural Machine Translation in Python.srt	SRT	9.72 KB
15. Question Answering.mp4	MP4	40.1 MB
15. Question Answering.srt	SRT	10.03 KB
16. Question Answering in Python.mp4	MP4	48.15 MB
16. Question Answering in Python.srt	SRT	6.97 KB
17. Zero-Shot Classification.mp4	MP4	30.12 MB
17. Zero-Shot Classification.srt	SRT	7.6 KB
18. Zero-Shot Classification in Python.mp4	MP4	87.61 MB
18. Zero-Shot Classification in Python.srt	SRT	16.41 KB
19. Beginner's Corner Section Summary.mp4	MP4	23.18 MB
19. Beginner's Corner Section Summary.srt	SRT	6.39 KB
2. From RNNs to Attention and Transformers - Intuition.mp4	MP4	78.2 MB
2. From RNNs to Attention and Transformers - Intuition.srt	SRT	24.01 KB
20. Suggestion Box.mp4	MP4	27.17 MB
20. Suggestion Box.srt	SRT	4.82 KB
3. Sentiment Analysis.mp4	MP4	53.6 MB
3. Sentiment Analysis.srt	SRT	14.55 KB
4. Sentiment Analysis in Python.mp4	MP4	97.05 MB
4. Sentiment Analysis in Python.srt	SRT	21.12 KB
5. Text Generation.mp4	MP4	57.1 MB
5. Text Generation.srt	SRT	15.45 KB
6. Text Generation in Python.mp4	MP4	86.35 MB
6. Text Generation in Python.srt	SRT	14.92 KB
7. Masked Language Modeling (Article Spinner).mp4	MP4	67.29 MB
7. Masked Language Modeling (Article Spinner).srt	SRT	16.12 KB
8. Masked Language Modeling (Article Spinner) in Python.mp4	MP4	67.09 MB
8. Masked Language Modeling (Article Spinner) in Python.srt	SRT	9.24 KB
9. Named Entity Recognition (NER).mp4	MP4	22.02 MB
9. Named Entity Recognition (NER).srt	SRT	6.24 KB

4. Fine-Tuning (Intermediate)

1. Fine-Tuning Section Introduction.mp4	MP4	20.16 MB
1. Fine-Tuning Section Introduction.srt	SRT	6.14 KB
10. Fine-Tuning Transformers with Custom Dataset.mp4	MP4	106.85 MB
10. Fine-Tuning Transformers with Custom Dataset.srt	SRT	15.1 KB
11. Hugging Face AutoConfig.mp4	MP4	40.86 MB
11. Hugging Face AutoConfig.srt	SRT	6.03 KB
12. Fine-Tuning with Multiple Inputs (Textual Entailment).mp4	MP4	28.42 MB
12. Fine-Tuning with Multiple Inputs (Textual Entailment).srt	SRT	10.32 KB
13. Fine-Tuning Transformers with Multiple Inputs in Python.mp4	MP4	56.66 MB
13. Fine-Tuning Transformers with Multiple Inputs in Python.srt	SRT	6.62 KB
14. Fine-Tuning Section Summary.mp4	MP4	15.78 MB
14. Fine-Tuning Section Summary.srt	SRT	4.11 KB
2. Text Preprocessing and Tokenization Review.mp4	MP4	63.16 MB
2. Text Preprocessing and Tokenization Review.srt	SRT	18.22 KB
3. Models and Tokenizers.mp4	MP4	64.57 MB
3. Models and Tokenizers.srt	SRT	20.6 KB
4. Models and Tokenizers in Python.mp4	MP4	84.26 MB
4. Models and Tokenizers in Python.srt	SRT	14.12 KB
5. Transfer Learning & Fine-Tuning (pt 1).mp4	MP4	59.83 MB
5. Transfer Learning & Fine-Tuning (pt 1).srt	SRT	12.69 KB
6. Transfer Learning & Fine-Tuning (pt 2).mp4	MP4	49.31 MB
6. Transfer Learning & Fine-Tuning (pt 2).srt	SRT	14.58 KB
7. Transfer Learning & Fine-Tuning (pt 3).mp4	MP4	56.66 MB
7. Transfer Learning & Fine-Tuning (pt 3).srt	SRT	13.67 KB
8. Fine-Tuning Sentiment Analysis and the GLUE Benchmark.mp4	MP4	58.43 MB
8. Fine-Tuning Sentiment Analysis and the GLUE Benchmark.srt	SRT	16.85 KB
9. Fine-Tuning Sentiment Analysis in Python.mp4	MP4	130.77 MB
9. Fine-Tuning Sentiment Analysis in Python.srt	SRT	19.29 KB
GetFreeCourses.Co.url	URL	116 B

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

1. Token Classification Section Introduction.mp4	MP4	35.82 MB
1. Token Classification Section Introduction.srt	SRT	9.59 KB
10. Metrics (Code).mp4	MP4	39.34 MB
10. Metrics (Code).srt	SRT	6.09 KB
11. Model and Trainer (Code Preparation).mp4	MP4	10.79 MB
11. Model and Trainer (Code Preparation).srt	SRT	2.91 KB
12. Model and Trainer (Code).mp4	MP4	22.18 MB
12. Model and Trainer (Code).srt	SRT	3.12 KB
13. POS Tagging & Custom Datasets (Exercise Prompt).mp4	MP4	21.33 MB
13. POS Tagging & Custom Datasets (Exercise Prompt).srt	SRT	6.85 KB
14. POS Tagging & Custom Datasets (Solution).mp4	MP4	115.13 MB
14. POS Tagging & Custom Datasets (Solution).srt	SRT	17.9 KB
15. Token Classification Section Summary.mp4	MP4	8.04 MB
15. Token Classification Section Summary.srt	SRT	2.6 KB
2. Data & Tokenizer (Code Preparation).mp4	MP4	19.34 MB
2. Data & Tokenizer (Code Preparation).srt	SRT	6.81 KB
3. Data & Tokenizer (Code).mp4	MP4	42.75 MB
3. Data & Tokenizer (Code).srt	SRT	9.2 KB
4. Target Alignment (Code Preparation).mp4	MP4	43.02 MB
4. Target Alignment (Code Preparation).srt	SRT	13.76 KB
5. Create Tokenized Dataset (Code Preparation).mp4	MP4	18.34 MB
5. Create Tokenized Dataset (Code Preparation).srt	SRT	5 KB
6. Target Alignment (Code).mp4	MP4	61.65 MB
6. Target Alignment (Code).srt	SRT	11.86 KB
7. Data Collator (Code Preparation).mp4	MP4	22.1 MB
7. Data Collator (Code Preparation).srt	SRT	4.92 KB
8. Data Collator (Code).mp4	MP4	16.94 MB
8. Data Collator (Code).srt	SRT	3.7 KB
9. Metrics (Code Preparation).mp4	MP4	33.44 MB
9. Metrics (Code Preparation).srt	SRT	9.13 KB

6. Seq2Seq and Neural Machine Translation (Intermediate)

1. Translation Section Introduction.mp4	MP4	18.2 MB
1. Translation Section Introduction.srt	SRT	6.35 KB
10. Train & Evaluate (Code Preparation).mp4	MP4	21.27 MB
10. Train & Evaluate (Code Preparation).srt	SRT	5.62 KB
11. Train & Evaluate (Code).mp4	MP4	35.74 MB
11. Train & Evaluate (Code).srt	SRT	4.64 KB
12. Translation Section Summary.mp4	MP4	9.77 MB
12. Translation Section Summary.srt	SRT	3.3 KB
2. Data & Tokenizer (Code Preparation).mp4	MP4	24.53 MB
2. Data & Tokenizer (Code Preparation).srt	SRT	7.5 KB
3. Things Move Fast.mp4	MP4	6.09 MB
3. Things Move Fast.srt	SRT	2.36 KB
4. Data & Tokenizer (Code).mp4	MP4	34.12 MB
4. Data & Tokenizer (Code).srt	SRT	6.44 KB
5. Aside Seq2Seq Basics (Optional).mp4	MP4	37.06 MB
5. Aside Seq2Seq Basics (Optional).srt	SRT	15.25 KB
6. Model Inputs (Code Preparation).mp4	MP4	32.41 MB
6. Model Inputs (Code Preparation).srt	SRT	11.21 KB
7. Model Inputs (Code).mp4	MP4	51.41 MB
7. Model Inputs (Code).srt	SRT	7.78 KB
8. Translation Metrics (BLEU Score & BERT Score) (Code Preparation).mp4	MP4	19.28 MB
8. Translation Metrics (BLEU Score & BERT Score) (Code Preparation).srt	SRT	4.96 KB
9. Translation Metrics (BLEU Score & BERT Score) (Code).mp4	MP4	43.32 MB
9. Translation Metrics (BLEU Score & BERT Score) (Code).srt	SRT	6.33 KB

7. Question-Answering (Advanced)

1. Question-Answering Section Introduction.mp4	MP4	21.52 MB
1. Question-Answering Section Introduction.srt	SRT	6.11 KB
10. Question-Answering Metrics.mp4	MP4	16.5 MB
10. Question-Answering Metrics.srt	SRT	4.71 KB
11. Question-Answering Metrics in Python.mp4	MP4	22.88 MB
11. Question-Answering Metrics in Python.srt	SRT	2.98 KB
12. From Logits to Answers.mp4	MP4	95.56 MB
12. From Logits to Answers.srt	SRT	27.71 KB
13. From Logits to Answers in Python.mp4	MP4	120.62 MB
13. From Logits to Answers in Python.srt	SRT	16.89 KB
14. Computing Metrics.mp4	MP4	24.94 MB
14. Computing Metrics.srt	SRT	6.62 KB
15. Computing Metrics in Python.mp4	MP4	44.26 MB
15. Computing Metrics in Python.srt	SRT	6.08 KB
16. Train and Evaluate.mp4	MP4	14.07 MB
16. Train and Evaluate.srt	SRT	3.32 KB
17. Train and Evaluate in Python.mp4	MP4	37.8 MB
17. Train and Evaluate in Python.srt	SRT	4.67 KB
18. Question-Answering Section Summary.mp4	MP4	14.24 MB
18. Question-Answering Section Summary.srt	SRT	5.04 KB
2. Exploring the Dataset (SQuAD).mp4	MP4	20.16 MB
2. Exploring the Dataset (SQuAD).srt	SRT	5.68 KB
3. Exploring the Dataset (SQuAD) in Python.mp4	MP4	39.85 MB
3. Exploring the Dataset (SQuAD) in Python.srt	SRT	4.66 KB
4. Using the Tokenizer.mp4	MP4	34.52 MB
4. Using the Tokenizer.srt	SRT	10.82 KB
5. Using the Tokenizer in Python.mp4	MP4	72.13 MB
5. Using the Tokenizer in Python.srt	SRT	13.08 KB
6. Aligning the Targets.mp4	MP4	69.08 MB
6. Aligning the Targets.srt	SRT	19.33 KB
7. Aligning the Targets in Python.mp4	MP4	103.33 MB
7. Aligning the Targets in Python.srt	SRT	18.83 KB
8. Applying the Tokenizer.mp4	MP4	45.05 MB
8. Applying the Tokenizer.srt	SRT	12.29 KB
9. Applying the Tokenizer in Python.mp4	MP4	76.5 MB
9. Applying the Tokenizer in Python.srt	SRT	12.03 KB
GetFreeCourses.Co.url	URL	116 B

8. Transformers and Attention Theory (Advanced)

1. Theory Section Introduction.mp4	MP4	17.14 MB
1. Theory Section Introduction.srt	SRT	6.88 KB
10. Decoder Architecture.mp4	MP4	49.61 MB
10. Decoder Architecture.srt	SRT	14.61 KB
11. Encoder-Decoder Architecture.mp4	MP4	39.7 MB
11. Encoder-Decoder Architecture.srt	SRT	11.36 KB
12. BERT.mp4	MP4	23.25 MB
12. BERT.srt	SRT	6.12 KB
13. GPT.mp4	MP4	31.17 MB
13. GPT.srt	SRT	8.65 KB
14. GPT-2.mp4	MP4	29.67 MB
14. GPT-2.srt	SRT	8.27 KB
15. GPT-3.mp4	MP4	23.99 MB
15. GPT-3.srt	SRT	6.57 KB
16. Theory Section Summary.mp4	MP4	21 MB
16. Theory Section Summary.srt	SRT	6.29 KB
2. Basic Self-Attention.mp4	MP4	36.97 MB
2. Basic Self-Attention.srt	SRT	12.44 KB
3. Self-Attention & Scaled Dot-Product Attention.mp4	MP4	64.27 MB
3. Self-Attention & Scaled Dot-Product Attention.srt	SRT	23.94 KB
4. Attention Efficiency.mp4	MP4	21.57 MB
4. Attention Efficiency.srt	SRT	5.86 KB
5. Attention Mask.mp4	MP4	15.11 MB
5. Attention Mask.srt	SRT	5.04 KB
6. Multi-Head Attention.mp4	MP4	33.71 MB
6. Multi-Head Attention.srt	SRT	9.35 KB
7. Transformer Block.mp4	MP4	29.5 MB
7. Transformer Block.srt	SRT	9.53 KB
8. Positional Encodings.mp4	MP4	29.03 MB
8. Positional Encodings.srt	SRT	9.46 KB
9. Encoder Architecture.mp4	MP4	25.21 MB
9. Encoder Architecture.srt	SRT	8.63 KB

9. Implement Transformers From Scratch (Advanced)

1. Implementation Section Introduction.mp4	MP4	25.6 MB
1. Implementation Section Introduction.srt	SRT	8.49 KB
10. How to Train a Causal Language Model From Scratch.mp4	MP4	120.37 MB
10. How to Train a Causal Language Model From Scratch.srt	SRT	20.12 KB
11. Implement a Seq2Seq Transformer From Scratch for Language Translation (pt 1).mp4	MP4	93.99 MB
11. Implement a Seq2Seq Transformer From Scratch for Language Translation (pt 1).srt	SRT	13.39 KB
12. Implement a Seq2Seq Transformer From Scratch for Language Translation (pt 2).mp4	MP4	95.19 MB
12. Implement a Seq2Seq Transformer From Scratch for Language Translation (pt 2).srt	SRT	14.97 KB
13. Implement a Seq2Seq Transformer From Scratch for Language Translation (pt 3).mp4	MP4	108.62 MB
13. Implement a Seq2Seq Transformer From Scratch for Language Translation (pt 3).srt	SRT	17.47 KB
14. Implementation Section Summary.mp4	MP4	10.59 MB
14. Implementation Section Summary.srt	SRT	1.99 KB
2. Encoder Implementation Plan & Outline.mp4	MP4	23.02 MB
2. Encoder Implementation Plan & Outline.srt	SRT	8.37 KB
3. How to Implement Multihead Attention From Scratch.mp4	MP4	93.41 MB
3. How to Implement Multihead Attention From Scratch.srt	SRT	15.5 KB
4. How to Implement the Transformer Block From Scratch.mp4	MP4	14.94 MB
4. How to Implement the Transformer Block From Scratch.srt	SRT	2.36 KB
5. How to Implement Positional Encoding From Scratch.mp4	MP4	35.87 MB
5. How to Implement Positional Encoding From Scratch.srt	SRT	6.26 KB
6. How to Implement Transformer Encoder From Scratch.mp4	MP4	27.03 MB
6. How to Implement Transformer Encoder From Scratch.srt	SRT	4.82 KB
7. Train and Evaluate Encoder From Scratch.mp4	MP4	89.33 MB
7. Train and Evaluate Encoder From Scratch.srt	SRT	12.3 KB
8. How to Implement Causal Self-Attention From Scratch.mp4	MP4	39.2 MB
8. How to Implement Causal Self-Attention From Scratch.srt	SRT	5.68 KB
9. How to Implement a Transformer Decoder (GPT) From Scratch.mp4	MP4	27.3 MB
9. How to Implement a Transformer Decoder (GPT) From Scratch.srt	SRT	4.86 KB

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Data Science: Transformers for Natural Language Processing

Torrent Contents Size: 5.65 GB

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