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GetFreeCourses Co-Udemy-Data Science Transformers for Natural Language Processing
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1. Welcome (Size: 5.65 GB) (Files: 267)
1. Welcome
1. Introduction.mp4
1. Introduction.srt
2. Outline.mp4
2. Outline.srt
10. Extras
1. Data Links.html
11. Setting Up Your Environment FAQ
1. Anaconda Environment Setup.mp4
1. Anaconda Environment Setup.srt
2. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.mp4
2. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.srt
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12. Extra Help With Python Coding for Beginners FAQ
1. How to Code by Yourself (part 1).mp4
1. How to Code by Yourself (part 1).srt
2. How to Code by Yourself (part 2).mp4
2. How to Code by Yourself (part 2).srt
3. Proof that using Jupyter Notebook is the same as not using it.mp4
3. Proof that using Jupyter Notebook is the same as not using it.srt
13. Effective Learning Strategies for Machine Learning FAQ
1. How to Succeed in this Course (Long Version).mp4
1. How to Succeed in this Course (Long Version).srt
2. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.mp4
2. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.srt
3. Machine Learning and AI Prerequisite Roadmap (pt 1).mp4
3. Machine Learning and AI Prerequisite Roadmap (pt 1).srt
4. Machine Learning and AI Prerequisite Roadmap (pt 2).mp4
4. Machine Learning and AI Prerequisite Roadmap (pt 2).srt
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14. Appendix FAQ Finale
1. What is the Appendix.mp4
1. What is the Appendix.srt
2. BONUS.mp4
2. BONUS.srt
2. Getting Setup
1. Get Your Hands Dirty, Practical Coding Experience, Data Links.mp4
1. Get Your Hands Dirty, Practical Coding Experience, Data Links.srt
1.1 Data Links.html
1.2 Github Link.html
2. How to use Github & Extra Coding Tips (Optional).mp4
2. How to use Github & Extra Coding Tips (Optional).srt
3. Where to get the code, notebooks, and data.mp4
3. Where to get the code, notebooks, and data.srt
3.1 Code Link.html
3.2 Data Links.html
3.3 Github Link.html
4. Are You Beginner, Intermediate, or Advanced All are OK!.mp4
4. Are You Beginner, Intermediate, or Advanced All are OK!.srt
5. How to Succeed in This Course.mp4
5. How to Succeed in This Course.srt
3. Beginner's Corner
1. Beginner's Corner Section Introduction.mp4
1. Beginner's Corner Section Introduction.srt
10. Named Entity Recognition (NER) in Python.mp4
10. Named Entity Recognition (NER) in Python.srt
11. Text Summarization.mp4
11. Text Summarization.srt
12. Text Summarization in Python.mp4
12. Text Summarization in Python.srt
13. Neural Machine Translation.mp4
13. Neural Machine Translation.srt
14. Neural Machine Translation in Python.mp4
14. Neural Machine Translation in Python.srt
15. Question Answering.mp4
15. Question Answering.srt
16. Question Answering in Python.mp4
16. Question Answering in Python.srt
17. Zero-Shot Classification.mp4
17. Zero-Shot Classification.srt
18. Zero-Shot Classification in Python.mp4
18. Zero-Shot Classification in Python.srt
19. Beginner's Corner Section Summary.mp4
19. Beginner's Corner Section Summary.srt
2. From RNNs to Attention and Transformers - Intuition.mp4
2. From RNNs to Attention and Transformers - Intuition.srt
20. Suggestion Box.mp4
20. Suggestion Box.srt
3. Sentiment Analysis.mp4
3. Sentiment Analysis.srt
4. Sentiment Analysis in Python.mp4
4. Sentiment Analysis in Python.srt
5. Text Generation.mp4
5. Text Generation.srt
6. Text Generation in Python.mp4
6. Text Generation in Python.srt
7. Masked Language Modeling (Article Spinner).mp4
7. Masked Language Modeling (Article Spinner).srt
8. Masked Language Modeling (Article Spinner) in Python.mp4
8. Masked Language Modeling (Article Spinner) in Python.srt
9. Named Entity Recognition (NER).mp4
9. Named Entity Recognition (NER).srt
4. Fine-Tuning (Intermediate)
1. Fine-Tuning Section Introduction.mp4
1. Fine-Tuning Section Introduction.srt
10. Fine-Tuning Transformers with Custom Dataset.mp4
10. Fine-Tuning Transformers with Custom Dataset.srt
11. Hugging Face AutoConfig.mp4
11. Hugging Face AutoConfig.srt
12. Fine-Tuning with Multiple Inputs (Textual Entailment).mp4
12. Fine-Tuning with Multiple Inputs (Textual Entailment).srt
13. Fine-Tuning Transformers with Multiple Inputs in Python.mp4
13. Fine-Tuning Transformers with Multiple Inputs in Python.srt
14. Fine-Tuning Section Summary.mp4
14. Fine-Tuning Section Summary.srt
2. Text Preprocessing and Tokenization Review.mp4
2. Text Preprocessing and Tokenization Review.srt
3. Models and Tokenizers.mp4
3. Models and Tokenizers.srt
4. Models and Tokenizers in Python.mp4
4. Models and Tokenizers in Python.srt
5. Transfer Learning & Fine-Tuning (pt 1).mp4
5. Transfer Learning & Fine-Tuning (pt 1).srt
6. Transfer Learning & Fine-Tuning (pt 2).mp4
6. Transfer Learning & Fine-Tuning (pt 2).srt
7. Transfer Learning & Fine-Tuning (pt 3).mp4
7. Transfer Learning & Fine-Tuning (pt 3).srt
8. Fine-Tuning Sentiment Analysis and the GLUE Benchmark.mp4
8. Fine-Tuning Sentiment Analysis and the GLUE Benchmark.srt
9. Fine-Tuning Sentiment Analysis in Python.mp4
9. Fine-Tuning Sentiment Analysis in Python.srt
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5. Named Entity Recognition (NER) and POS Tagging (Intermediate)
1. Token Classification Section Introduction.mp4
1. Token Classification Section Introduction.srt
10. Metrics (Code).mp4
10. Metrics (Code).srt
11. Model and Trainer (Code Preparation).mp4
11. Model and Trainer (Code Preparation).srt
12. Model and Trainer (Code).mp4
12. Model and Trainer (Code).srt
13. POS Tagging & Custom Datasets (Exercise Prompt).mp4
13. POS Tagging & Custom Datasets (Exercise Prompt).srt
14. POS Tagging & Custom Datasets (Solution).mp4
14. POS Tagging & Custom Datasets (Solution).srt
15. Token Classification Section Summary.mp4
15. Token Classification Section Summary.srt
2. Data & Tokenizer (Code Preparation).mp4
2. Data & Tokenizer (Code Preparation).srt
3. Data & Tokenizer (Code).mp4
3. Data & Tokenizer (Code).srt
4. Target Alignment (Code Preparation).mp4
4. Target Alignment (Code Preparation).srt
5. Create Tokenized Dataset (Code Preparation).mp4
5. Create Tokenized Dataset (Code Preparation).srt
6. Target Alignment (Code).mp4
6. Target Alignment (Code).srt
7. Data Collator (Code Preparation).mp4
7. Data Collator (Code Preparation).srt
8. Data Collator (Code).mp4
8. Data Collator (Code).srt
9. Metrics (Code Preparation).mp4
9. Metrics (Code Preparation).srt
6. Seq2Seq and Neural Machine Translation (Intermediate)
1. Translation Section Introduction.mp4
1. Translation Section Introduction.srt
10. Train & Evaluate (Code Preparation).mp4
10. Train & Evaluate (Code Preparation).srt
11. Train & Evaluate (Code).mp4
11. Train & Evaluate (Code).srt
12. Translation Section Summary.mp4
12. Translation Section Summary.srt
2. Data & Tokenizer (Code Preparation).mp4
2. Data & Tokenizer (Code Preparation).srt
3. Things Move Fast.mp4
3. Things Move Fast.srt
4. Data & Tokenizer (Code).mp4
4. Data & Tokenizer (Code).srt
5. Aside Seq2Seq Basics (Optional).mp4
5. Aside Seq2Seq Basics (Optional).srt
6. Model Inputs (Code Preparation).mp4
6. Model Inputs (Code Preparation).srt
7. Model Inputs (Code).mp4
7. Model Inputs (Code).srt
8. Translation Metrics (BLEU Score & BERT Score) (Code Preparation).mp4
8. Translation Metrics (BLEU Score & BERT Score) (Code Preparation).srt
9. Translation Metrics (BLEU Score & BERT Score) (Code).mp4
9. Translation Metrics (BLEU Score & BERT Score) (Code).srt
7. Question-Answering (Advanced)
1. Question-Answering Section Introduction.mp4
1. Question-Answering Section Introduction.srt
10. Question-Answering Metrics.mp4
10. Question-Answering Metrics.srt
11. Question-Answering Metrics in Python.mp4
11. Question-Answering Metrics in Python.srt
12. From Logits to Answers.mp4
12. From Logits to Answers.srt
13. From Logits to Answers in Python.mp4
13. From Logits to Answers in Python.srt
14. Computing Metrics.mp4
14. Computing Metrics.srt
15. Computing Metrics in Python.mp4
15. Computing Metrics in Python.srt
16. Train and Evaluate.mp4
16. Train and Evaluate.srt
17. Train and Evaluate in Python.mp4
17. Train and Evaluate in Python.srt
18. Question-Answering Section Summary.mp4
18. Question-Answering Section Summary.srt
2. Exploring the Dataset (SQuAD).mp4
2. Exploring the Dataset (SQuAD).srt
3. Exploring the Dataset (SQuAD) in Python.mp4
3. Exploring the Dataset (SQuAD) in Python.srt
4. Using the Tokenizer.mp4
4. Using the Tokenizer.srt
5. Using the Tokenizer in Python.mp4
5. Using the Tokenizer in Python.srt
6. Aligning the Targets.mp4
6. Aligning the Targets.srt
7. Aligning the Targets in Python.mp4
7. Aligning the Targets in Python.srt
8. Applying the Tokenizer.mp4
8. Applying the Tokenizer.srt
9. Applying the Tokenizer in Python.mp4
9. Applying the Tokenizer in Python.srt
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8. Transformers and Attention Theory (Advanced)
1. Theory Section Introduction.mp4
1. Theory Section Introduction.srt
10. Decoder Architecture.mp4
10. Decoder Architecture.srt
11. Encoder-Decoder Architecture.mp4
11. Encoder-Decoder Architecture.srt
12. BERT.mp4
12. BERT.srt
13. GPT.mp4
13. GPT.srt
14. GPT-2.mp4
14. GPT-2.srt
15. GPT-3.mp4
15. GPT-3.srt
16. Theory Section Summary.mp4
16. Theory Section Summary.srt
2. Basic Self-Attention.mp4
2. Basic Self-Attention.srt
3. Self-Attention & Scaled Dot-Product Attention.mp4
3. Self-Attention & Scaled Dot-Product Attention.srt
4. Attention Efficiency.mp4
4. Attention Efficiency.srt
5. Attention Mask.mp4
5. Attention Mask.srt
6. Multi-Head Attention.mp4
6. Multi-Head Attention.srt
7. Transformer Block.mp4
7. Transformer Block.srt
8. Positional Encodings.mp4
8. Positional Encodings.srt
9. Encoder Architecture.mp4
9. Encoder Architecture.srt
9. Implement Transformers From Scratch (Advanced)
1. Implementation Section Introduction.mp4
1. Implementation Section Introduction.srt
10. How to Train a Causal Language Model From Scratch.mp4
10. How to Train a Causal Language Model From Scratch.srt
11. Implement a Seq2Seq Transformer From Scratch for Language Translation (pt 1).mp4
11. Implement a Seq2Seq Transformer From Scratch for Language Translation (pt 1).srt
12. Implement a Seq2Seq Transformer From Scratch for Language Translation (pt 2).mp4
12. Implement a Seq2Seq Transformer From Scratch for Language Translation (pt 2).srt
13. Implement a Seq2Seq Transformer From Scratch for Language Translation (pt 3).mp4
13. Implement a Seq2Seq Transformer From Scratch for Language Translation (pt 3).srt
14. Implementation Section Summary.mp4
14. Implementation Section Summary.srt
2. Encoder Implementation Plan & Outline.mp4
2. Encoder Implementation Plan & Outline.srt
3. How to Implement Multihead Attention From Scratch.mp4
3. How to Implement Multihead Attention From Scratch.srt
4. How to Implement the Transformer Block From Scratch.mp4
4. How to Implement the Transformer Block From Scratch.srt
5. How to Implement Positional Encoding From Scratch.mp4
5. How to Implement Positional Encoding From Scratch.srt
6. How to Implement Transformer Encoder From Scratch.mp4
6. How to Implement Transformer Encoder From Scratch.srt
7. Train and Evaluate Encoder From Scratch.mp4
7. Train and Evaluate Encoder From Scratch.srt
8. How to Implement Causal Self-Attention From Scratch.mp4
8. How to Implement Causal Self-Attention From Scratch.srt
9. How to Implement a Transformer Decoder (GPT) From Scratch.mp4
9. How to Implement a Transformer Decoder (GPT) From Scratch.srt
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