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Data Science: Transformers for Natural Language Processing
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Data Science: Transformers for Natural Language Processing

ChatGPT, GPT-4, BERT, Deep Learning, Machine Learning, & NLP with Hugging Face, Attention in Python, Tensorflow, PyTorch

Udemy Link - https://www.udemy.com/course/data-science-transformers-nlp/

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1. Welcome/1. Introduction.mp434.6 MiB
1. Welcome/1. Introduction.srt5.63 KiB
1. Welcome/2. Outline.mp450.65 MiB
1. Welcome/2. Outline.srt13.51 KiB
10. Extras/1. Data Links.html256 B
11. Setting Up Your Environment FAQ/1. Anaconda Environment Setup.mp452.64 MiB
11. Setting Up Your Environment FAQ/1. Anaconda Environment Setup.srt20.13 KiB
11. Setting Up Your Environment FAQ/2. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.mp443.61 MiB
11. Setting Up Your Environment FAQ/2. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.srt15.81 KiB
11. Setting Up Your Environment FAQ/GetFreeCourses.Co.url116 B
12. Extra Help With Python Coding for Beginners FAQ/1. How to Code by Yourself (part 1).mp471.84 MiB
12. Extra Help With Python Coding for Beginners FAQ/1. How to Code by Yourself (part 1).srt23.13 KiB
12. Extra Help With Python Coding for Beginners FAQ/2. How to Code by Yourself (part 2).mp449.14 MiB
12. Extra Help With Python Coding for Beginners FAQ/2. How to Code by Yourself (part 2).srt13.24 KiB
12. Extra Help With Python Coding for Beginners FAQ/3. Proof that using Jupyter Notebook is the same as not using it.mp469.42 MiB
12. Extra Help With Python Coding for Beginners FAQ/3. Proof that using Jupyter Notebook is the same as not using it.srt14.92 KiB
13. Effective Learning Strategies for Machine Learning FAQ/1. How to Succeed in this Course (Long Version).mp417.87 MiB
13. Effective Learning Strategies for Machine Learning FAQ/1. How to Succeed in this Course (Long Version).srt14.55 KiB
13. Effective Learning Strategies for Machine Learning FAQ/2. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.mp438.96 MiB
13. Effective Learning Strategies for Machine Learning FAQ/2. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.srt32.69 KiB
13. Effective Learning Strategies for Machine Learning FAQ/3. Machine Learning and AI Prerequisite Roadmap (pt 1).mp479.66 MiB
13. Effective Learning Strategies for Machine Learning FAQ/3. Machine Learning and AI Prerequisite Roadmap (pt 1).srt17.14 KiB
13. Effective Learning Strategies for Machine Learning FAQ/4. Machine Learning and AI Prerequisite Roadmap (pt 2).mp4108.17 MiB
13. Effective Learning Strategies for Machine Learning FAQ/4. Machine Learning and AI Prerequisite Roadmap (pt 2).srt23.93 KiB
13. Effective Learning Strategies for Machine Learning FAQ/GetFreeCourses.Co.url116 B
14. Appendix FAQ Finale/1. What is the Appendix.mp416.37 MiB
14. Appendix FAQ Finale/1. What is the Appendix.srt3.88 KiB
14. Appendix FAQ Finale/2. BONUS.mp439.92 MiB
14. Appendix FAQ Finale/2. BONUS.srt7.94 KiB
2. Getting Setup/1. Get Your Hands Dirty, Practical Coding Experience, Data Links.mp443.55 MiB
2. Getting Setup/1. Get Your Hands Dirty, Practical Coding Experience, Data Links.srt11.99 KiB
2. Getting Setup/1.1 Data Links.html157 B
2. Getting Setup/1.2 Github Link.html145 B
2. Getting Setup/2. How to use Github & Extra Coding Tips (Optional).mp463.9 MiB
2. Getting Setup/2. How to use Github & Extra Coding Tips (Optional).srt15.71 KiB
2. Getting Setup/3. Where to get the code, notebooks, and data.mp417.77 MiB
2. Getting Setup/3. Where to get the code, notebooks, and data.srt4.29 KiB
2. Getting Setup/3.1 Code Link.html125 B
2. Getting Setup/3.2 Data Links.html157 B
2. Getting Setup/3.3 Github Link.html145 B
2. Getting Setup/4. Are You Beginner, Intermediate, or Advanced All are OK!.mp426.74 MiB
2. Getting Setup/4. Are You Beginner, Intermediate, or Advanced All are OK!.srt7.14 KiB
2. Getting Setup/5. How to Succeed in This Course.mp441.19 MiB
2. Getting Setup/5. How to Succeed in This Course.srt13.03 KiB
3. Beginner's Corner/1. Beginner's Corner Section Introduction.mp449.75 MiB
3. Beginner's Corner/1. Beginner's Corner Section Introduction.srt15.06 KiB
3. Beginner's Corner/10. Named Entity Recognition (NER) in Python.mp470.24 MiB
3. Beginner's Corner/10. Named Entity Recognition (NER) in Python.srt9.63 KiB
3. Beginner's Corner/11. Text Summarization.mp424.15 MiB
3. Beginner's Corner/11. Text Summarization.srt7.08 KiB
3. Beginner's Corner/12. Text Summarization in Python.mp445.47 MiB
3. Beginner's Corner/12. Text Summarization in Python.srt7.55 KiB
3. Beginner's Corner/13. Neural Machine Translation.mp428.1 MiB
3. Beginner's Corner/13. Neural Machine Translation.srt8.15 KiB
3. Beginner's Corner/14. Neural Machine Translation in Python.mp464.1 MiB
3. Beginner's Corner/14. Neural Machine Translation in Python.srt9.72 KiB
3. Beginner's Corner/15. Question Answering.mp440.1 MiB
3. Beginner's Corner/15. Question Answering.srt10.03 KiB
3. Beginner's Corner/16. Question Answering in Python.mp448.15 MiB
3. Beginner's Corner/16. Question Answering in Python.srt6.97 KiB
3. Beginner's Corner/17. Zero-Shot Classification.mp430.12 MiB
3. Beginner's Corner/17. Zero-Shot Classification.srt7.6 KiB
3. Beginner's Corner/18. Zero-Shot Classification in Python.mp487.61 MiB
3. Beginner's Corner/18. Zero-Shot Classification in Python.srt16.41 KiB
3. Beginner's Corner/19. Beginner's Corner Section Summary.mp423.18 MiB
3. Beginner's Corner/19. Beginner's Corner Section Summary.srt6.39 KiB
3. Beginner's Corner/2. From RNNs to Attention and Transformers - Intuition.mp478.2 MiB
3. Beginner's Corner/2. From RNNs to Attention and Transformers - Intuition.srt24.01 KiB
3. Beginner's Corner/20. Suggestion Box.mp427.17 MiB
3. Beginner's Corner/20. Suggestion Box.srt4.82 KiB
3. Beginner's Corner/3. Sentiment Analysis.mp453.6 MiB
3. Beginner's Corner/3. Sentiment Analysis.srt14.55 KiB
3. Beginner's Corner/4. Sentiment Analysis in Python.mp497.05 MiB
3. Beginner's Corner/4. Sentiment Analysis in Python.srt21.12 KiB
3. Beginner's Corner/5. Text Generation.mp457.1 MiB
3. Beginner's Corner/5. Text Generation.srt15.45 KiB
3. Beginner's Corner/6. Text Generation in Python.mp486.35 MiB
3. Beginner's Corner/6. Text Generation in Python.srt14.92 KiB
3. Beginner's Corner/7. Masked Language Modeling (Article Spinner).mp467.29 MiB
3. Beginner's Corner/7. Masked Language Modeling (Article Spinner).srt16.12 KiB
3. Beginner's Corner/8. Masked Language Modeling (Article Spinner) in Python.mp467.09 MiB
3. Beginner's Corner/8. Masked Language Modeling (Article Spinner) in Python.srt9.24 KiB
3. Beginner's Corner/9. Named Entity Recognition (NER).mp422.02 MiB
3. Beginner's Corner/9. Named Entity Recognition (NER).srt6.24 KiB
4. Fine-Tuning (Intermediate)/1. Fine-Tuning Section Introduction.mp420.16 MiB
4. Fine-Tuning (Intermediate)/1. Fine-Tuning Section Introduction.srt6.14 KiB
4. Fine-Tuning (Intermediate)/10. Fine-Tuning Transformers with Custom Dataset.mp4106.85 MiB
4. Fine-Tuning (Intermediate)/10. Fine-Tuning Transformers with Custom Dataset.srt15.1 KiB
4. Fine-Tuning (Intermediate)/11. Hugging Face AutoConfig.mp440.86 MiB
4. Fine-Tuning (Intermediate)/11. Hugging Face AutoConfig.srt6.03 KiB
4. Fine-Tuning (Intermediate)/12. Fine-Tuning with Multiple Inputs (Textual Entailment).mp428.42 MiB
4. Fine-Tuning (Intermediate)/12. Fine-Tuning with Multiple Inputs (Textual Entailment).srt10.32 KiB
4. Fine-Tuning (Intermediate)/13. Fine-Tuning Transformers with Multiple Inputs in Python.mp456.66 MiB
4. Fine-Tuning (Intermediate)/13. Fine-Tuning Transformers with Multiple Inputs in Python.srt6.62 KiB
4. Fine-Tuning (Intermediate)/14. Fine-Tuning Section Summary.mp415.78 MiB
4. Fine-Tuning (Intermediate)/14. Fine-Tuning Section Summary.srt4.11 KiB
4. Fine-Tuning (Intermediate)/2. Text Preprocessing and Tokenization Review.mp463.16 MiB
4. Fine-Tuning (Intermediate)/2. Text Preprocessing and Tokenization Review.srt18.22 KiB
4. Fine-Tuning (Intermediate)/3. Models and Tokenizers.mp464.57 MiB
4. Fine-Tuning (Intermediate)/3. Models and Tokenizers.srt20.6 KiB
4. Fine-Tuning (Intermediate)/4. Models and Tokenizers in Python.mp484.26 MiB
4. Fine-Tuning (Intermediate)/4. Models and Tokenizers in Python.srt14.12 KiB
4. Fine-Tuning (Intermediate)/5. Transfer Learning & Fine-Tuning (pt 1).mp459.83 MiB
4. Fine-Tuning (Intermediate)/5. Transfer Learning & Fine-Tuning (pt 1).srt12.69 KiB
4. Fine-Tuning (Intermediate)/6. Transfer Learning & Fine-Tuning (pt 2).mp449.31 MiB
4. Fine-Tuning (Intermediate)/6. Transfer Learning & Fine-Tuning (pt 2).srt14.58 KiB
4. Fine-Tuning (Intermediate)/7. Transfer Learning & Fine-Tuning (pt 3).mp456.66 MiB
4. Fine-Tuning (Intermediate)/7. Transfer Learning & Fine-Tuning (pt 3).srt13.67 KiB
4. Fine-Tuning (Intermediate)/8. Fine-Tuning Sentiment Analysis and the GLUE Benchmark.mp458.43 MiB
4. Fine-Tuning (Intermediate)/8. Fine-Tuning Sentiment Analysis and the GLUE Benchmark.srt16.85 KiB
4. Fine-Tuning (Intermediate)/9. Fine-Tuning Sentiment Analysis in Python.mp4130.77 MiB
4. Fine-Tuning (Intermediate)/9. Fine-Tuning Sentiment Analysis in Python.srt19.29 KiB
4. Fine-Tuning (Intermediate)/GetFreeCourses.Co.url116 B
5. Named Entity Recognition (NER) and POS Tagging (Intermediate)/1. Token Classification Section Introduction.mp435.82 MiB
5. Named Entity Recognition (NER) and POS Tagging (Intermediate)/1. Token Classification Section Introduction.srt9.59 KiB
5. Named Entity Recognition (NER) and POS Tagging (Intermediate)/10. Metrics (Code).mp439.34 MiB
5. Named Entity Recognition (NER) and POS Tagging (Intermediate)/10. Metrics (Code).srt6.09 KiB
5. Named Entity Recognition (NER) and POS Tagging (Intermediate)/11. Model and Trainer (Code Preparation).mp410.79 MiB
5. Named Entity Recognition (NER) and POS Tagging (Intermediate)/11. Model and Trainer (Code Preparation).srt2.91 KiB
5. Named Entity Recognition (NER) and POS Tagging (Intermediate)/12. Model and Trainer (Code).mp422.18 MiB
5. Named Entity Recognition (NER) and POS Tagging (Intermediate)/12. Model and Trainer (Code).srt3.12 KiB
5. Named Entity Recognition (NER) and POS Tagging (Intermediate)/13. POS Tagging & Custom Datasets (Exercise Prompt).mp421.33 MiB
5. Named Entity Recognition (NER) and POS Tagging (Intermediate)/13. POS Tagging & Custom Datasets (Exercise Prompt).srt6.85 KiB
5. Named Entity Recognition (NER) and POS Tagging (Intermediate)/14. POS Tagging & Custom Datasets (Solution).mp4115.13 MiB
5. Named Entity Recognition (NER) and POS Tagging (Intermediate)/14. POS Tagging & Custom Datasets (Solution).srt17.9 KiB
5. Named Entity Recognition (NER) and POS Tagging (Intermediate)/15. Token Classification Section Summary.mp48.04 MiB
5. Named Entity Recognition (NER) and POS Tagging (Intermediate)/15. Token Classification Section Summary.srt2.6 KiB
5. Named Entity Recognition (NER) and POS Tagging (Intermediate)/2. Data & Tokenizer (Code Preparation).mp419.34 MiB
5. Named Entity Recognition (NER) and POS Tagging (Intermediate)/2. Data & Tokenizer (Code Preparation).srt6.81 KiB
5. Named Entity Recognition (NER) and POS Tagging (Intermediate)/3. Data & Tokenizer (Code).mp442.75 MiB
5. Named Entity Recognition (NER) and POS Tagging (Intermediate)/3. Data & Tokenizer (Code).srt9.2 KiB
5. Named Entity Recognition (NER) and POS Tagging (Intermediate)/4. Target Alignment (Code Preparation).mp443.02 MiB
5. Named Entity Recognition (NER) and POS Tagging (Intermediate)/4. Target Alignment (Code Preparation).srt13.76 KiB
5. Named Entity Recognition (NER) and POS Tagging (Intermediate)/5. Create Tokenized Dataset (Code Preparation).mp418.34 MiB
5. Named Entity Recognition (NER) and POS Tagging (Intermediate)/5. Create Tokenized Dataset (Code Preparation).srt5 KiB
5. Named Entity Recognition (NER) and POS Tagging (Intermediate)/6. Target Alignment (Code).mp461.65 MiB
5. Named Entity Recognition (NER) and POS Tagging (Intermediate)/6. Target Alignment (Code).srt11.86 KiB
5. Named Entity Recognition (NER) and POS Tagging (Intermediate)/7. Data Collator (Code Preparation).mp422.1 MiB
5. Named Entity Recognition (NER) and POS Tagging (Intermediate)/7. Data Collator (Code Preparation).srt4.92 KiB
5. Named Entity Recognition (NER) and POS Tagging (Intermediate)/8. Data Collator (Code).mp416.94 MiB
5. Named Entity Recognition (NER) and POS Tagging (Intermediate)/8. Data Collator (Code).srt3.7 KiB
5. Named Entity Recognition (NER) and POS Tagging (Intermediate)/9. Metrics (Code Preparation).mp433.44 MiB
5. Named Entity Recognition (NER) and POS Tagging (Intermediate)/9. Metrics (Code Preparation).srt9.13 KiB
6. Seq2Seq and Neural Machine Translation (Intermediate)/1. Translation Section Introduction.mp418.2 MiB
6. Seq2Seq and Neural Machine Translation (Intermediate)/1. Translation Section Introduction.srt6.35 KiB
6. Seq2Seq and Neural Machine Translation (Intermediate)/10. Train & Evaluate (Code Preparation).mp421.27 MiB
6. Seq2Seq and Neural Machine Translation (Intermediate)/10. Train & Evaluate (Code Preparation).srt5.62 KiB
6. Seq2Seq and Neural Machine Translation (Intermediate)/11. Train & Evaluate (Code).mp435.74 MiB
6. Seq2Seq and Neural Machine Translation (Intermediate)/11. Train & Evaluate (Code).srt4.64 KiB
6. Seq2Seq and Neural Machine Translation (Intermediate)/12. Translation Section Summary.mp49.77 MiB
6. Seq2Seq and Neural Machine Translation (Intermediate)/12. Translation Section Summary.srt3.3 KiB
6. Seq2Seq and Neural Machine Translation (Intermediate)/2. Data & Tokenizer (Code Preparation).mp424.53 MiB
6. Seq2Seq and Neural Machine Translation (Intermediate)/2. Data & Tokenizer (Code Preparation).srt7.5 KiB
6. Seq2Seq and Neural Machine Translation (Intermediate)/3. Things Move Fast.mp46.09 MiB
6. Seq2Seq and Neural Machine Translation (Intermediate)/3. Things Move Fast.srt2.36 KiB
6. Seq2Seq and Neural Machine Translation (Intermediate)/4. Data & Tokenizer (Code).mp434.12 MiB
6. Seq2Seq and Neural Machine Translation (Intermediate)/4. Data & Tokenizer (Code).srt6.44 KiB
6. Seq2Seq and Neural Machine Translation (Intermediate)/5. Aside Seq2Seq Basics (Optional).mp437.06 MiB
6. Seq2Seq and Neural Machine Translation (Intermediate)/5. Aside Seq2Seq Basics (Optional).srt15.25 KiB
6. Seq2Seq and Neural Machine Translation (Intermediate)/6. Model Inputs (Code Preparation).mp432.41 MiB
6. Seq2Seq and Neural Machine Translation (Intermediate)/6. Model Inputs (Code Preparation).srt11.21 KiB
6. Seq2Seq and Neural Machine Translation (Intermediate)/7. Model Inputs (Code).mp451.41 MiB
6. Seq2Seq and Neural Machine Translation (Intermediate)/7. Model Inputs (Code).srt7.78 KiB
6. Seq2Seq and Neural Machine Translation (Intermediate)/8. Translation Metrics (BLEU Score & BERT Score) (Code Preparation).mp419.28 MiB
6. Seq2Seq and Neural Machine Translation (Intermediate)/8. Translation Metrics (BLEU Score & BERT Score) (Code Preparation).srt4.96 KiB
6. Seq2Seq and Neural Machine Translation (Intermediate)/9. Translation Metrics (BLEU Score & BERT Score) (Code).mp443.32 MiB
6. Seq2Seq and Neural Machine Translation (Intermediate)/9. Translation Metrics (BLEU Score & BERT Score) (Code).srt6.33 KiB
7. Question-Answering (Advanced)/1. Question-Answering Section Introduction.mp421.52 MiB
7. Question-Answering (Advanced)/1. Question-Answering Section Introduction.srt6.11 KiB
7. Question-Answering (Advanced)/10. Question-Answering Metrics.mp416.5 MiB
7. Question-Answering (Advanced)/10. Question-Answering Metrics.srt4.71 KiB
7. Question-Answering (Advanced)/11. Question-Answering Metrics in Python.mp422.88 MiB
7. Question-Answering (Advanced)/11. Question-Answering Metrics in Python.srt2.98 KiB
7. Question-Answering (Advanced)/12. From Logits to Answers.mp495.56 MiB
7. Question-Answering (Advanced)/12. From Logits to Answers.srt27.71 KiB
7. Question-Answering (Advanced)/13. From Logits to Answers in Python.mp4120.62 MiB
7. Question-Answering (Advanced)/13. From Logits to Answers in Python.srt16.89 KiB
7. Question-Answering (Advanced)/14. Computing Metrics.mp424.94 MiB
7. Question-Answering (Advanced)/14. Computing Metrics.srt6.62 KiB
7. Question-Answering (Advanced)/15. Computing Metrics in Python.mp444.26 MiB
7. Question-Answering (Advanced)/15. Computing Metrics in Python.srt6.08 KiB
7. Question-Answering (Advanced)/16. Train and Evaluate.mp414.07 MiB
7. Question-Answering (Advanced)/16. Train and Evaluate.srt3.32 KiB
7. Question-Answering (Advanced)/17. Train and Evaluate in Python.mp437.8 MiB
7. Question-Answering (Advanced)/17. Train and Evaluate in Python.srt4.67 KiB
7. Question-Answering (Advanced)/18. Question-Answering Section Summary.mp414.24 MiB
7. Question-Answering (Advanced)/18. Question-Answering Section Summary.srt5.04 KiB
7. Question-Answering (Advanced)/2. Exploring the Dataset (SQuAD).mp420.16 MiB
7. Question-Answering (Advanced)/2. Exploring the Dataset (SQuAD).srt5.68 KiB
7. Question-Answering (Advanced)/3. Exploring the Dataset (SQuAD) in Python.mp439.85 MiB
7. Question-Answering (Advanced)/3. Exploring the Dataset (SQuAD) in Python.srt4.66 KiB
7. Question-Answering (Advanced)/4. Using the Tokenizer.mp434.52 MiB
7. Question-Answering (Advanced)/4. Using the Tokenizer.srt10.82 KiB
7. Question-Answering (Advanced)/5. Using the Tokenizer in Python.mp472.13 MiB
7. Question-Answering (Advanced)/5. Using the Tokenizer in Python.srt13.08 KiB
7. Question-Answering (Advanced)/6. Aligning the Targets.mp469.08 MiB
7. Question-Answering (Advanced)/6. Aligning the Targets.srt19.33 KiB
7. Question-Answering (Advanced)/7. Aligning the Targets in Python.mp4103.33 MiB
7. Question-Answering (Advanced)/7. Aligning the Targets in Python.srt18.83 KiB
7. Question-Answering (Advanced)/8. Applying the Tokenizer.mp445.05 MiB
7. Question-Answering (Advanced)/8. Applying the Tokenizer.srt12.29 KiB
7. Question-Answering (Advanced)/9. Applying the Tokenizer in Python.mp476.5 MiB
7. Question-Answering (Advanced)/9. Applying the Tokenizer in Python.srt12.03 KiB
7. Question-Answering (Advanced)/GetFreeCourses.Co.url116 B
8. Transformers and Attention Theory (Advanced)/1. Theory Section Introduction.mp417.14 MiB
8. Transformers and Attention Theory (Advanced)/1. Theory Section Introduction.srt6.88 KiB
8. Transformers and Attention Theory (Advanced)/10. Decoder Architecture.mp449.61 MiB
8. Transformers and Attention Theory (Advanced)/10. Decoder Architecture.srt14.61 KiB
8. Transformers and Attention Theory (Advanced)/11. Encoder-Decoder Architecture.mp439.7 MiB
8. Transformers and Attention Theory (Advanced)/11. Encoder-Decoder Architecture.srt11.36 KiB
8. Transformers and Attention Theory (Advanced)/12. BERT.mp423.25 MiB
8. Transformers and Attention Theory (Advanced)/12. BERT.srt6.12 KiB
8. Transformers and Attention Theory (Advanced)/13. GPT.mp431.17 MiB
8. Transformers and Attention Theory (Advanced)/13. GPT.srt8.65 KiB
8. Transformers and Attention Theory (Advanced)/14. GPT-2.mp429.67 MiB
8. Transformers and Attention Theory (Advanced)/14. GPT-2.srt8.27 KiB
8. Transformers and Attention Theory (Advanced)/15. GPT-3.mp423.99 MiB
8. Transformers and Attention Theory (Advanced)/15. GPT-3.srt6.57 KiB
8. Transformers and Attention Theory (Advanced)/16. Theory Section Summary.mp421 MiB
8. Transformers and Attention Theory (Advanced)/16. Theory Section Summary.srt6.29 KiB
8. Transformers and Attention Theory (Advanced)/2. Basic Self-Attention.mp436.97 MiB
8. Transformers and Attention Theory (Advanced)/2. Basic Self-Attention.srt12.44 KiB
8. Transformers and Attention Theory (Advanced)/3. Self-Attention & Scaled Dot-Product Attention.mp464.27 MiB
8. Transformers and Attention Theory (Advanced)/3. Self-Attention & Scaled Dot-Product Attention.srt23.94 KiB
8. Transformers and Attention Theory (Advanced)/4. Attention Efficiency.mp421.57 MiB
8. Transformers and Attention Theory (Advanced)/4. Attention Efficiency.srt5.86 KiB
8. Transformers and Attention Theory (Advanced)/5. Attention Mask.mp415.11 MiB
8. Transformers and Attention Theory (Advanced)/5. Attention Mask.srt5.04 KiB
8. Transformers and Attention Theory (Advanced)/6. Multi-Head Attention.mp433.71 MiB
8. Transformers and Attention Theory (Advanced)/6. Multi-Head Attention.srt9.35 KiB
8. Transformers and Attention Theory (Advanced)/7. Transformer Block.mp429.5 MiB
8. Transformers and Attention Theory (Advanced)/7. Transformer Block.srt9.53 KiB
8. Transformers and Attention Theory (Advanced)/8. Positional Encodings.mp429.03 MiB
8. Transformers and Attention Theory (Advanced)/8. Positional Encodings.srt9.46 KiB
8. Transformers and Attention Theory (Advanced)/9. Encoder Architecture.mp425.21 MiB
8. Transformers and Attention Theory (Advanced)/9. Encoder Architecture.srt8.63 KiB
9. Implement Transformers From Scratch (Advanced)/1. Implementation Section Introduction.mp425.6 MiB
9. Implement Transformers From Scratch (Advanced)/1. Implementation Section Introduction.srt8.49 KiB
9. Implement Transformers From Scratch (Advanced)/10. How to Train a Causal Language Model From Scratch.mp4120.37 MiB
9. Implement Transformers From Scratch (Advanced)/10. How to Train a Causal Language Model From Scratch.srt20.12 KiB
9. Implement Transformers From Scratch (Advanced)/11. Implement a Seq2Seq Transformer From Scratch for Language Translation (pt 1).mp493.99 MiB
9. Implement Transformers From Scratch (Advanced)/11. Implement a Seq2Seq Transformer From Scratch for Language Translation (pt 1).srt13.39 KiB
9. Implement Transformers From Scratch (Advanced)/12. Implement a Seq2Seq Transformer From Scratch for Language Translation (pt 2).mp495.19 MiB
9. Implement Transformers From Scratch (Advanced)/12. Implement a Seq2Seq Transformer From Scratch for Language Translation (pt 2).srt14.97 KiB
9. Implement Transformers From Scratch (Advanced)/13. Implement a Seq2Seq Transformer From Scratch for Language Translation (pt 3).mp4108.62 MiB
9. Implement Transformers From Scratch (Advanced)/13. Implement a Seq2Seq Transformer From Scratch for Language Translation (pt 3).srt17.47 KiB
9. Implement Transformers From Scratch (Advanced)/14. Implementation Section Summary.mp410.59 MiB
9. Implement Transformers From Scratch (Advanced)/14. Implementation Section Summary.srt1.99 KiB
9. Implement Transformers From Scratch (Advanced)/2. Encoder Implementation Plan & Outline.mp423.02 MiB
9. Implement Transformers From Scratch (Advanced)/2. Encoder Implementation Plan & Outline.srt8.37 KiB
9. Implement Transformers From Scratch (Advanced)/3. How to Implement Multihead Attention From Scratch.mp493.41 MiB
9. Implement Transformers From Scratch (Advanced)/3. How to Implement Multihead Attention From Scratch.srt15.5 KiB
9. Implement Transformers From Scratch (Advanced)/4. How to Implement the Transformer Block From Scratch.mp414.94 MiB
9. Implement Transformers From Scratch (Advanced)/4. How to Implement the Transformer Block From Scratch.srt2.36 KiB
9. Implement Transformers From Scratch (Advanced)/5. How to Implement Positional Encoding From Scratch.mp435.87 MiB
9. Implement Transformers From Scratch (Advanced)/5. How to Implement Positional Encoding From Scratch.srt6.26 KiB
9. Implement Transformers From Scratch (Advanced)/6. How to Implement Transformer Encoder From Scratch.mp427.03 MiB
9. Implement Transformers From Scratch (Advanced)/6. How to Implement Transformer Encoder From Scratch.srt4.82 KiB
9. Implement Transformers From Scratch (Advanced)/7. Train and Evaluate Encoder From Scratch.mp489.33 MiB
9. Implement Transformers From Scratch (Advanced)/7. Train and Evaluate Encoder From Scratch.srt12.3 KiB
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