GetFreeCourses Co Udemy Data Science Transformers for Natural Language Processing

GetFreeCourses Co Udemy Data Science Transformers for Natural Language Processing

Name	GetFreeCourses.Co-Udemy-Data Science Transformers for Natural Language Processing	DOWNLOAD Copy Link
Total Size	6.1 GB
Total Files	267
Last Seen	2024-07-22 00:32
Hash	0C83610B6BD36929682B5042A3507E6C15D4ADE3

/1. Welcome/
1. Introduction.mp4	36.3 MB
1. Introduction.srt	5.8 KB
2. Outline.mp4	53.1 MB
2. Outline.srt	13.8 KB
/10. Extras/
1. Data Links.html	0.3 KB
/11. Setting Up Your Environment FAQ/
1. Anaconda Environment Setup.mp4	55.2 MB
1. Anaconda Environment Setup.srt	20.6 KB
2. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.mp4	45.7 MB
2. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.srt	16.2 KB
GetFreeCourses.Co.url	0.1 KB
/12. Extra Help With Python Coding for Beginners FAQ/
1. How to Code by Yourself (part 1).mp4	75.3 MB
1. How to Code by Yourself (part 1).srt	23.7 KB
2. How to Code by Yourself (part 2).mp4	51.5 MB
2. How to Code by Yourself (part 2).srt	13.6 KB
3. Proof that using Jupyter Notebook is the same as not using it.mp4	72.8 MB
3. Proof that using Jupyter Notebook is the same as not using it.srt	15.3 KB
/13. Effective Learning Strategies for Machine Learning FAQ/
1. How to Succeed in this Course (Long Version).mp4	18.7 MB
1. How to Succeed in this Course (Long Version).srt	14.9 KB
2. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.mp4	40.9 MB
2. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.srt	33.5 KB
3. Machine Learning and AI Prerequisite Roadmap (pt 1).mp4	83.5 MB
3. Machine Learning and AI Prerequisite Roadmap (pt 1).srt	17.6 KB
4. Machine Learning and AI Prerequisite Roadmap (pt 2).mp4	113.4 MB
4. Machine Learning and AI Prerequisite Roadmap (pt 2).srt	24.5 KB
GetFreeCourses.Co.url	0.1 KB
/14. Appendix FAQ Finale/
1. What is the Appendix.mp4	17.2 MB
1. What is the Appendix.srt	4.0 KB
2. BONUS.mp4	41.9 MB
2. BONUS.srt	8.1 KB
/2. Getting Setup/
1. Get Your Hands Dirty, Practical Coding Experience, Data Links.mp4	45.7 MB
1. Get Your Hands Dirty, Practical Coding Experience, Data Links.srt	12.3 KB
1.1 Data Links.html	0.2 KB
1.2 Github Link.html	0.1 KB
2. How to use Github & Extra Coding Tips (Optional).mp4	67.0 MB
2. How to use Github & Extra Coding Tips (Optional).srt	16.1 KB
3. Where to get the code, notebooks, and data.mp4	18.6 MB
3. Where to get the code, notebooks, and data.srt	4.4 KB
3.1 Code Link.html	0.1 KB
3.2 Data Links.html	0.2 KB
3.3 Github Link.html	0.1 KB
4. Are You Beginner, Intermediate, or Advanced All are OK!.mp4	28.0 MB
4. Are You Beginner, Intermediate, or Advanced All are OK!.srt	7.3 KB
5. How to Succeed in This Course.mp4	43.2 MB
5. How to Succeed in This Course.srt	13.3 KB
/3. Beginner's Corner/
1. Beginner's Corner Section Introduction.mp4	52.2 MB
1. Beginner's Corner Section Introduction.srt	15.4 KB
10. Named Entity Recognition (NER) in Python.mp4	73.7 MB
10. Named Entity Recognition (NER) in Python.srt	9.9 KB
11. Text Summarization.mp4	25.3 MB
11. Text Summarization.srt	7.3 KB
12. Text Summarization in Python.mp4	47.7 MB
12. Text Summarization in Python.srt	7.7 KB
13. Neural Machine Translation.mp4	29.5 MB
13. Neural Machine Translation.srt	8.3 KB
14. Neural Machine Translation in Python.mp4	67.2 MB
14. Neural Machine Translation in Python.srt	10.0 KB
15. Question Answering.mp4	42.0 MB
15. Question Answering.srt	10.3 KB
16. Question Answering in Python.mp4	50.5 MB
16. Question Answering in Python.srt	7.1 KB
17. Zero-Shot Classification.mp4	31.6 MB
17. Zero-Shot Classification.srt	7.8 KB
18. Zero-Shot Classification in Python.mp4	91.9 MB
18. Zero-Shot Classification in Python.srt	16.8 KB
19. Beginner's Corner Section Summary.mp4	24.3 MB
19. Beginner's Corner Section Summary.srt	6.5 KB
2. From RNNs to Attention and Transformers - Intuition.mp4	82.0 MB
2. From RNNs to Attention and Transformers - Intuition.srt	24.6 KB
20. Suggestion Box.mp4	28.5 MB
20. Suggestion Box.srt	4.9 KB
3. Sentiment Analysis.mp4	56.2 MB
3. Sentiment Analysis.srt	14.9 KB
4. Sentiment Analysis in Python.mp4	101.8 MB
4. Sentiment Analysis in Python.srt	21.6 KB
5. Text Generation.mp4	59.9 MB
5. Text Generation.srt	15.8 KB
6. Text Generation in Python.mp4	90.5 MB
6. Text Generation in Python.srt	15.3 KB
7. Masked Language Modeling (Article Spinner).mp4	70.6 MB
7. Masked Language Modeling (Article Spinner).srt	16.5 KB
8. Masked Language Modeling (Article Spinner) in Python.mp4	70.3 MB
8. Masked Language Modeling (Article Spinner) in Python.srt	9.5 KB
9. Named Entity Recognition (NER).mp4	23.1 MB
9. Named Entity Recognition (NER).srt	6.4 KB
/4. Fine-Tuning (Intermediate)/
1. Fine-Tuning Section Introduction.mp4	21.1 MB
1. Fine-Tuning Section Introduction.srt	6.3 KB
10. Fine-Tuning Transformers with Custom Dataset.mp4	112.0 MB
10. Fine-Tuning Transformers with Custom Dataset.srt	15.5 KB
11. Hugging Face AutoConfig.mp4	42.8 MB
11. Hugging Face AutoConfig.srt	6.2 KB
12. Fine-Tuning with Multiple Inputs (Textual Entailment).mp4	29.8 MB
12. Fine-Tuning with Multiple Inputs (Textual Entailment).srt	10.6 KB
13. Fine-Tuning Transformers with Multiple Inputs in Python.mp4	59.4 MB
13. Fine-Tuning Transformers with Multiple Inputs in Python.srt	6.8 KB
14. Fine-Tuning Section Summary.mp4	16.5 MB
14. Fine-Tuning Section Summary.srt	4.2 KB
2. Text Preprocessing and Tokenization Review.mp4	66.2 MB
2. Text Preprocessing and Tokenization Review.srt	18.7 KB
3. Models and Tokenizers.mp4	67.7 MB
3. Models and Tokenizers.srt	21.1 KB
4. Models and Tokenizers in Python.mp4	88.4 MB
4. Models and Tokenizers in Python.srt	14.5 KB
5. Transfer Learning & Fine-Tuning (pt 1).mp4	62.7 MB
5. Transfer Learning & Fine-Tuning (pt 1).srt	13.0 KB
6. Transfer Learning & Fine-Tuning (pt 2).mp4	51.7 MB
6. Transfer Learning & Fine-Tuning (pt 2).srt	14.9 KB
7. Transfer Learning & Fine-Tuning (pt 3).mp4	59.4 MB
7. Transfer Learning & Fine-Tuning (pt 3).srt	14.0 KB
8. Fine-Tuning Sentiment Analysis and the GLUE Benchmark.mp4	61.3 MB
8. Fine-Tuning Sentiment Analysis and the GLUE Benchmark.srt	17.3 KB
9. Fine-Tuning Sentiment Analysis in Python.mp4	137.1 MB
9. Fine-Tuning Sentiment Analysis in Python.srt	19.7 KB
GetFreeCourses.Co.url	0.1 KB
/5. Named Entity Recognition (NER) and POS Tagging (Intermediate)/
1. Token Classification Section Introduction.mp4	37.6 MB
1. Token Classification Section Introduction.srt	9.8 KB
10. Metrics (Code).mp4	41.2 MB
10. Metrics (Code).srt	6.2 KB
11. Model and Trainer (Code Preparation).mp4	11.3 MB
11. Model and Trainer (Code Preparation).srt	3.0 KB
12. Model and Trainer (Code).mp4	23.3 MB
12. Model and Trainer (Code).srt	3.2 KB
13. POS Tagging & Custom Datasets (Exercise Prompt).mp4	22.4 MB
13. POS Tagging & Custom Datasets (Exercise Prompt).srt	7.0 KB
14. POS Tagging & Custom Datasets (Solution).mp4	120.7 MB
14. POS Tagging & Custom Datasets (Solution).srt	18.3 KB
15. Token Classification Section Summary.mp4	8.4 MB
15. Token Classification Section Summary.srt	2.7 KB
2. Data & Tokenizer (Code Preparation).mp4	20.3 MB
2. Data & Tokenizer (Code Preparation).srt	7.0 KB
3. Data & Tokenizer (Code).mp4	44.8 MB
3. Data & Tokenizer (Code).srt	9.4 KB
4. Target Alignment (Code Preparation).mp4	45.1 MB
4. Target Alignment (Code Preparation).srt	14.1 KB
5. Create Tokenized Dataset (Code Preparation).mp4	19.2 MB
5. Create Tokenized Dataset (Code Preparation).srt	5.1 KB
6. Target Alignment (Code).mp4	64.6 MB
6. Target Alignment (Code).srt	12.1 KB
7. Data Collator (Code Preparation).mp4	23.2 MB
7. Data Collator (Code Preparation).srt	5.0 KB
8. Data Collator (Code).mp4	17.8 MB
8. Data Collator (Code).srt	3.8 KB
9. Metrics (Code Preparation).mp4	35.1 MB
9. Metrics (Code Preparation).srt	9.4 KB
/6. Seq2Seq and Neural Machine Translation (Intermediate)/
1. Translation Section Introduction.mp4	19.1 MB
1. Translation Section Introduction.srt	6.5 KB
10. Train & Evaluate (Code Preparation).mp4	22.3 MB
10. Train & Evaluate (Code Preparation).srt	5.8 KB
11. Train & Evaluate (Code).mp4	37.5 MB
11. Train & Evaluate (Code).srt	4.7 KB
12. Translation Section Summary.mp4	10.2 MB
12. Translation Section Summary.srt	3.4 KB
2. Data & Tokenizer (Code Preparation).mp4	25.7 MB
2. Data & Tokenizer (Code Preparation).srt	7.7 KB
3. Things Move Fast.mp4	6.4 MB
3. Things Move Fast.srt	2.4 KB
4. Data & Tokenizer (Code).mp4	35.8 MB
4. Data & Tokenizer (Code).srt	6.6 KB
5. Aside Seq2Seq Basics (Optional).mp4	38.9 MB
5. Aside Seq2Seq Basics (Optional).srt	15.6 KB
6. Model Inputs (Code Preparation).mp4	34.0 MB
6. Model Inputs (Code Preparation).srt	11.5 KB
7. Model Inputs (Code).mp4	53.9 MB
7. Model Inputs (Code).srt	8.0 KB
8. Translation Metrics (BLEU Score & BERT Score) (Code Preparation).mp4	20.2 MB
8. Translation Metrics (BLEU Score & BERT Score) (Code Preparation).srt	5.1 KB
9. Translation Metrics (BLEU Score & BERT Score) (Code).mp4	45.4 MB
9. Translation Metrics (BLEU Score & BERT Score) (Code).srt	6.5 KB
/7. Question-Answering (Advanced)/
1. Question-Answering Section Introduction.mp4	22.6 MB
1. Question-Answering Section Introduction.srt	6.3 KB
10. Question-Answering Metrics.mp4	17.3 MB
10. Question-Answering Metrics.srt	4.8 KB
11. Question-Answering Metrics in Python.mp4	24.0 MB
11. Question-Answering Metrics in Python.srt	3.1 KB
12. From Logits to Answers.mp4	100.2 MB
12. From Logits to Answers.srt	28.4 KB
13. From Logits to Answers in Python.mp4	126.5 MB
13. From Logits to Answers in Python.srt	17.3 KB
14. Computing Metrics.mp4	26.2 MB
14. Computing Metrics.srt	6.8 KB
15. Computing Metrics in Python.mp4	46.4 MB
15. Computing Metrics in Python.srt	6.2 KB
16. Train and Evaluate.mp4	14.8 MB
16. Train and Evaluate.srt	3.4 KB
17. Train and Evaluate in Python.mp4	39.6 MB
17. Train and Evaluate in Python.srt	4.8 KB
18. Question-Answering Section Summary.mp4	14.9 MB
18. Question-Answering Section Summary.srt	5.2 KB
2. Exploring the Dataset (SQuAD).mp4	21.1 MB
2. Exploring the Dataset (SQuAD).srt	5.8 KB
3. Exploring the Dataset (SQuAD) in Python.mp4	41.8 MB
3. Exploring the Dataset (SQuAD) in Python.srt	4.8 KB
4. Using the Tokenizer.mp4	36.2 MB
4. Using the Tokenizer.srt	11.1 KB
5. Using the Tokenizer in Python.mp4	75.6 MB
5. Using the Tokenizer in Python.srt	13.4 KB
6. Aligning the Targets.mp4	72.4 MB
6. Aligning the Targets.srt	19.8 KB
7. Aligning the Targets in Python.mp4	108.4 MB
7. Aligning the Targets in Python.srt	19.3 KB
8. Applying the Tokenizer.mp4	47.2 MB
8. Applying the Tokenizer.srt	12.6 KB
9. Applying the Tokenizer in Python.mp4	80.2 MB
9. Applying the Tokenizer in Python.srt	12.3 KB
GetFreeCourses.Co.url	0.1 KB
/8. Transformers and Attention Theory (Advanced)/
1. Theory Section Introduction.mp4	18.0 MB
1. Theory Section Introduction.srt	7.0 KB
10. Decoder Architecture.mp4	52.0 MB
10. Decoder Architecture.srt	15.0 KB
11. Encoder-Decoder Architecture.mp4	41.6 MB
11. Encoder-Decoder Architecture.srt	11.6 KB
12. BERT.mp4	24.4 MB
12. BERT.srt	6.3 KB
13. GPT.mp4	32.7 MB
13. GPT.srt	8.9 KB
14. GPT-2.mp4	31.1 MB
14. GPT-2.srt	8.5 KB
15. GPT-3.mp4	25.2 MB
15. GPT-3.srt	6.7 KB
16. Theory Section Summary.mp4	22.0 MB
16. Theory Section Summary.srt	6.4 KB
2. Basic Self-Attention.mp4	38.8 MB
2. Basic Self-Attention.srt	12.7 KB
3. Self-Attention & Scaled Dot-Product Attention.mp4	67.4 MB
3. Self-Attention & Scaled Dot-Product Attention.srt	24.5 KB
4. Attention Efficiency.mp4	22.6 MB
4. Attention Efficiency.srt	6.0 KB
5. Attention Mask.mp4	15.8 MB
5. Attention Mask.srt	5.2 KB
6. Multi-Head Attention.mp4	35.3 MB
6. Multi-Head Attention.srt	9.6 KB
7. Transformer Block.mp4	30.9 MB
7. Transformer Block.srt	9.8 KB
8. Positional Encodings.mp4	30.4 MB
8. Positional Encodings.srt	9.7 KB
9. Encoder Architecture.mp4	26.4 MB
9. Encoder Architecture.srt	8.8 KB
/9. Implement Transformers From Scratch (Advanced)/
1. Implementation Section Introduction.mp4	26.8 MB
1. Implementation Section Introduction.srt	8.7 KB
10. How to Train a Causal Language Model From Scratch.mp4	126.2 MB
10. How to Train a Causal Language Model From Scratch.srt	20.6 KB
11. Implement a Seq2Seq Transformer From Scratch for Language Translation (pt 1).mp4	98.6 MB
11. Implement a Seq2Seq Transformer From Scratch for Language Translation (pt 1).srt	13.7 KB
12. Implement a Seq2Seq Transformer From Scratch for Language Translation (pt 2).mp4	99.8 MB
12. Implement a Seq2Seq Transformer From Scratch for Language Translation (pt 2).srt	15.3 KB
13. Implement a Seq2Seq Transformer From Scratch for Language Translation (pt 3).mp4	113.9 MB
13. Implement a Seq2Seq Transformer From Scratch for Language Translation (pt 3).srt	17.9 KB
14. Implementation Section Summary.mp4	11.1 MB
14. Implementation Section Summary.srt	2.0 KB
2. Encoder Implementation Plan & Outline.mp4	24.1 MB
2. Encoder Implementation Plan & Outline.srt	8.6 KB
3. How to Implement Multihead Attention From Scratch.mp4	97.9 MB
3. How to Implement Multihead Attention From Scratch.srt	15.9 KB
4. How to Implement the Transformer Block From Scratch.mp4	15.7 MB
4. How to Implement the Transformer Block From Scratch.srt	2.4 KB
5. How to Implement Positional Encoding From Scratch.mp4	37.6 MB
5. How to Implement Positional Encoding From Scratch.srt	6.4 KB
6. How to Implement Transformer Encoder From Scratch.mp4	28.3 MB
6. How to Implement Transformer Encoder From Scratch.srt	4.9 KB
7. Train and Evaluate Encoder From Scratch.mp4	93.7 MB
7. Train and Evaluate Encoder From Scratch.srt	12.6 KB
8. How to Implement Causal Self-Attention From Scratch.mp4	41.1 MB
8. How to Implement Causal Self-Attention From Scratch.srt	5.8 KB
9. How to Implement a Transformer Decoder (GPT) From Scratch.mp4	28.6 MB
9. How to Implement a Transformer Decoder (GPT) From Scratch.srt	5.0 KB
/
Download Paid Udemy Courses For Free.url	0.1 KB
GetFreeCourses.Co.url	0.1 KB
How you can help GetFreeCourses.Co.txt	0.2 KB
Total files 267