GetFreeCourses.Co-Udemy-Data Science Transformers for Natural Language Processing

File Name

Size

1. Welcome/1. Introduction.mp4

35 MB

1. Welcome/1. Introduction.srt

5.6 kB

1. Welcome/2. Outline.mp4

51 MB

1. Welcome/2. Outline.srt

14 kB

10. Extras/1. Data Links.html

256 B

11. Setting Up Your Environment FAQ/1. Anaconda Environment Setup.mp4

53 MB

11. Setting Up Your Environment FAQ/1. Anaconda Environment Setup.srt

20 kB

11. Setting Up Your Environment FAQ/2. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.mp4

44 MB

11. Setting Up Your Environment FAQ/2. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.srt

16 kB

11. Setting Up Your Environment FAQ/GetFreeCourses.Co.url

116 B

12. Extra Help With Python Coding for Beginners FAQ/1. How to Code by Yourself (part 1).mp4

72 MB

12. Extra Help With Python Coding for Beginners FAQ/1. How to Code by Yourself (part 1).srt

23 kB

12. Extra Help With Python Coding for Beginners FAQ/2. How to Code by Yourself (part 2).mp4

49 MB

12. Extra Help With Python Coding for Beginners FAQ/2. How to Code by Yourself (part 2).srt

13 kB

12. Extra Help With Python Coding for Beginners FAQ/3. Proof that using Jupyter Notebook is the same as not using it.mp4

69 MB

12. Extra Help With Python Coding for Beginners FAQ/3. Proof that using Jupyter Notebook is the same as not using it.srt

15 kB

13. Effective Learning Strategies for Machine Learning FAQ/1. How to Succeed in this Course (Long Version).mp4

18 MB

13. Effective Learning Strategies for Machine Learning FAQ/1. How to Succeed in this Course (Long Version).srt

14 kB

13. Effective Learning Strategies for Machine Learning FAQ/2. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.mp4

39 MB

13. Effective Learning Strategies for Machine Learning FAQ/2. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.srt

33 kB

13. Effective Learning Strategies for Machine Learning FAQ/3. Machine Learning and AI Prerequisite Roadmap (pt 1).mp4

80 MB

13. Effective Learning Strategies for Machine Learning FAQ/3. Machine Learning and AI Prerequisite Roadmap (pt 1).srt

17 kB

13. Effective Learning Strategies for Machine Learning FAQ/4. Machine Learning and AI Prerequisite Roadmap (pt 2).mp4

108 MB

13. Effective Learning Strategies for Machine Learning FAQ/4. Machine Learning and AI Prerequisite Roadmap (pt 2).srt

24 kB

13. Effective Learning Strategies for Machine Learning FAQ/GetFreeCourses.Co.url

116 B

14. Appendix FAQ Finale/1. What is the Appendix.mp4

16 MB

14. Appendix FAQ Finale/1. What is the Appendix.srt

3.9 kB

14. Appendix FAQ Finale/2. BONUS.mp4

40 MB

14. Appendix FAQ Finale/2. BONUS.srt

7.9 kB

2. Getting Setup/1. Get Your Hands Dirty, Practical Coding Experience, Data Links.mp4

44 MB

2. Getting Setup/1. Get Your Hands Dirty, Practical Coding Experience, Data Links.srt

12 kB

2. Getting Setup/1.1 Data Links.html

157 B

2. Getting Setup/1.2 Github Link.html

145 B

2. Getting Setup/2. How to use Github & Extra Coding Tips (Optional).mp4

64 MB

2. Getting Setup/2. How to use Github & Extra Coding Tips (Optional).srt

16 kB

2. Getting Setup/3. Where to get the code, notebooks, and data.mp4

18 MB

2. Getting Setup/3. Where to get the code, notebooks, and data.srt

4.3 kB

2. Getting Setup/3.1 Code Link.html

125 B

2. Getting Setup/3.2 Data Links.html

157 B

2. Getting Setup/3.3 Github Link.html

145 B

2. Getting Setup/4. Are You Beginner, Intermediate, or Advanced All are OK!.mp4

27 MB

2. Getting Setup/4. Are You Beginner, Intermediate, or Advanced All are OK!.srt

7.1 kB

2. Getting Setup/5. How to Succeed in This Course.mp4

41 MB

2. Getting Setup/5. How to Succeed in This Course.srt

13 kB

3. Beginner's Corner/1. Beginner's Corner Section Introduction.mp4

50 MB

3. Beginner's Corner/1. Beginner's Corner Section Introduction.srt

15 kB

3. Beginner's Corner/10. Named Entity Recognition (NER) in Python.mp4

70 MB

3. Beginner's Corner/10. Named Entity Recognition (NER) in Python.srt

9.6 kB

3. Beginner's Corner/11. Text Summarization.mp4

24 MB

3. Beginner's Corner/11. Text Summarization.srt

7.1 kB

3. Beginner's Corner/12. Text Summarization in Python.mp4

46 MB

3. Beginner's Corner/12. Text Summarization in Python.srt

7.6 kB

3. Beginner's Corner/13. Neural Machine Translation.mp4

28 MB

3. Beginner's Corner/13. Neural Machine Translation.srt

8.1 kB

3. Beginner's Corner/14. Neural Machine Translation in Python.mp4

64 MB

3. Beginner's Corner/14. Neural Machine Translation in Python.srt

9.7 kB

3. Beginner's Corner/15. Question Answering.mp4

40 MB

3. Beginner's Corner/15. Question Answering.srt

10 kB

3. Beginner's Corner/16. Question Answering in Python.mp4

48 MB

3. Beginner's Corner/16. Question Answering in Python.srt

7.0 kB

3. Beginner's Corner/17. Zero-Shot Classification.mp4

30 MB

3. Beginner's Corner/17. Zero-Shot Classification.srt

7.6 kB

3. Beginner's Corner/18. Zero-Shot Classification in Python.mp4

88 MB

3. Beginner's Corner/18. Zero-Shot Classification in Python.srt

16 kB

3. Beginner's Corner/19. Beginner's Corner Section Summary.mp4

23 MB

3. Beginner's Corner/19. Beginner's Corner Section Summary.srt

6.4 kB

3. Beginner's Corner/2. From RNNs to Attention and Transformers - Intuition.mp4

78 MB

3. Beginner's Corner/2. From RNNs to Attention and Transformers - Intuition.srt

24 kB

3. Beginner's Corner/20. Suggestion Box.mp4

27 MB

3. Beginner's Corner/20. Suggestion Box.srt

4.8 kB

3. Beginner's Corner/3. Sentiment Analysis.mp4

54 MB

3. Beginner's Corner/3. Sentiment Analysis.srt

14 kB

3. Beginner's Corner/4. Sentiment Analysis in Python.mp4

97 MB

3. Beginner's Corner/4. Sentiment Analysis in Python.srt

21 kB

3. Beginner's Corner/5. Text Generation.mp4

57 MB

3. Beginner's Corner/5. Text Generation.srt

16 kB

3. Beginner's Corner/6. Text Generation in Python.mp4

86 MB

3. Beginner's Corner/6. Text Generation in Python.srt

15 kB

3. Beginner's Corner/7. Masked Language Modeling (Article Spinner).mp4

67 MB

3. Beginner's Corner/7. Masked Language Modeling (Article Spinner).srt

16 kB

3. Beginner's Corner/8. Masked Language Modeling (Article Spinner) in Python.mp4

67 MB

3. Beginner's Corner/8. Masked Language Modeling (Article Spinner) in Python.srt

9.2 kB

3. Beginner's Corner/9. Named Entity Recognition (NER).mp4

22 MB

3. Beginner's Corner/9. Named Entity Recognition (NER).srt

6.2 kB

4. Fine-Tuning (Intermediate)/1. Fine-Tuning Section Introduction.mp4

20 MB

4. Fine-Tuning (Intermediate)/1. Fine-Tuning Section Introduction.srt

6.1 kB

4. Fine-Tuning (Intermediate)/10. Fine-Tuning Transformers with Custom Dataset.mp4

107 MB

4. Fine-Tuning (Intermediate)/10. Fine-Tuning Transformers with Custom Dataset.srt

15 kB

4. Fine-Tuning (Intermediate)/11. Hugging Face AutoConfig.mp4

41 MB

4. Fine-Tuning (Intermediate)/11. Hugging Face AutoConfig.srt

6.0 kB

4. Fine-Tuning (Intermediate)/12. Fine-Tuning with Multiple Inputs (Textual Entailment).mp4

28 MB

4. Fine-Tuning (Intermediate)/12. Fine-Tuning with Multiple Inputs (Textual Entailment).srt

10 kB

4. Fine-Tuning (Intermediate)/13. Fine-Tuning Transformers with Multiple Inputs in Python.mp4

57 MB

4. Fine-Tuning (Intermediate)/13. Fine-Tuning Transformers with Multiple Inputs in Python.srt

6.6 kB

4. Fine-Tuning (Intermediate)/14. Fine-Tuning Section Summary.mp4

16 MB

4. Fine-Tuning (Intermediate)/14. Fine-Tuning Section Summary.srt

4.1 kB

4. Fine-Tuning (Intermediate)/2. Text Preprocessing and Tokenization Review.mp4

63 MB

4. Fine-Tuning (Intermediate)/2. Text Preprocessing and Tokenization Review.srt

18 kB

4. Fine-Tuning (Intermediate)/3. Models and Tokenizers.mp4

65 MB

4. Fine-Tuning (Intermediate)/3. Models and Tokenizers.srt

21 kB

4. Fine-Tuning (Intermediate)/4. Models and Tokenizers in Python.mp4

84 MB

4. Fine-Tuning (Intermediate)/4. Models and Tokenizers in Python.srt

14 kB

4. Fine-Tuning (Intermediate)/5. Transfer Learning & Fine-Tuning (pt 1).mp4

60 MB

4. Fine-Tuning (Intermediate)/5. Transfer Learning & Fine-Tuning (pt 1).srt

13 kB

4. Fine-Tuning (Intermediate)/6. Transfer Learning & Fine-Tuning (pt 2).mp4

49 MB

4. Fine-Tuning (Intermediate)/6. Transfer Learning & Fine-Tuning (pt 2).srt

15 kB

4. Fine-Tuning (Intermediate)/7. Transfer Learning & Fine-Tuning (pt 3).mp4

57 MB

4. Fine-Tuning (Intermediate)/7. Transfer Learning & Fine-Tuning (pt 3).srt

14 kB

4. Fine-Tuning (Intermediate)/8. Fine-Tuning Sentiment Analysis and the GLUE Benchmark.mp4

58 MB

4. Fine-Tuning (Intermediate)/8. Fine-Tuning Sentiment Analysis and the GLUE Benchmark.srt

17 kB

4. Fine-Tuning (Intermediate)/9. Fine-Tuning Sentiment Analysis in Python.mp4

131 MB

4. Fine-Tuning (Intermediate)/9. Fine-Tuning Sentiment Analysis in Python.srt

19 kB

4. Fine-Tuning (Intermediate)/GetFreeCourses.Co.url

116 B

5. Named Entity Recognition (NER) and POS Tagging (Intermediate)/1. Token Classification Section Introduction.mp4

36 MB

5. Named Entity Recognition (NER) and POS Tagging (Intermediate)/1. Token Classification Section Introduction.srt

9.6 kB

5. Named Entity Recognition (NER) and POS Tagging (Intermediate)/10. Metrics (Code).mp4

39 MB

5. Named Entity Recognition (NER) and POS Tagging (Intermediate)/10. Metrics (Code).srt

6.1 kB

5. Named Entity Recognition (NER) and POS Tagging (Intermediate)/11. Model and Trainer (Code Preparation).mp4

11 MB

5. Named Entity Recognition (NER) and POS Tagging (Intermediate)/11. Model and Trainer (Code Preparation).srt

2.9 kB

5. Named Entity Recognition (NER) and POS Tagging (Intermediate)/12. Model and Trainer (Code).mp4

22 MB

5. Named Entity Recognition (NER) and POS Tagging (Intermediate)/12. Model and Trainer (Code).srt

3.1 kB

5. Named Entity Recognition (NER) and POS Tagging (Intermediate)/13. POS Tagging & Custom Datasets (Exercise Prompt).mp4

21 MB

5. Named Entity Recognition (NER) and POS Tagging (Intermediate)/13. POS Tagging & Custom Datasets (Exercise Prompt).srt

6.8 kB

5. Named Entity Recognition (NER) and POS Tagging (Intermediate)/14. POS Tagging & Custom Datasets (Solution).mp4

115 MB

5. Named Entity Recognition (NER) and POS Tagging (Intermediate)/14. POS Tagging & Custom Datasets (Solution).srt

18 kB

5. Named Entity Recognition (NER) and POS Tagging (Intermediate)/15. Token Classification Section Summary.mp4

8.0 MB

5. Named Entity Recognition (NER) and POS Tagging (Intermediate)/15. Token Classification Section Summary.srt

2.6 kB

5. Named Entity Recognition (NER) and POS Tagging (Intermediate)/2. Data & Tokenizer (Code Preparation).mp4

19 MB

5. Named Entity Recognition (NER) and POS Tagging (Intermediate)/2. Data & Tokenizer (Code Preparation).srt

6.8 kB

5. Named Entity Recognition (NER) and POS Tagging (Intermediate)/3. Data & Tokenizer (Code).mp4

43 MB

5. Named Entity Recognition (NER) and POS Tagging (Intermediate)/3. Data & Tokenizer (Code).srt

9.2 kB

5. Named Entity Recognition (NER) and POS Tagging (Intermediate)/4. Target Alignment (Code Preparation).mp4

43 MB

5. Named Entity Recognition (NER) and POS Tagging (Intermediate)/4. Target Alignment (Code Preparation).srt

14 kB

5. Named Entity Recognition (NER) and POS Tagging (Intermediate)/5. Create Tokenized Dataset (Code Preparation).mp4

18 MB

5. Named Entity Recognition (NER) and POS Tagging (Intermediate)/5. Create Tokenized Dataset (Code Preparation).srt

5.0 kB

5. Named Entity Recognition (NER) and POS Tagging (Intermediate)/6. Target Alignment (Code).mp4

62 MB

5. Named Entity Recognition (NER) and POS Tagging (Intermediate)/6. Target Alignment (Code).srt

12 kB

5. Named Entity Recognition (NER) and POS Tagging (Intermediate)/7. Data Collator (Code Preparation).mp4

22 MB

5. Named Entity Recognition (NER) and POS Tagging (Intermediate)/7. Data Collator (Code Preparation).srt

4.9 kB

5. Named Entity Recognition (NER) and POS Tagging (Intermediate)/8. Data Collator (Code).mp4

17 MB

5. Named Entity Recognition (NER) and POS Tagging (Intermediate)/8. Data Collator (Code).srt

3.7 kB

5. Named Entity Recognition (NER) and POS Tagging (Intermediate)/9. Metrics (Code Preparation).mp4

33 MB

5. Named Entity Recognition (NER) and POS Tagging (Intermediate)/9. Metrics (Code Preparation).srt

9.1 kB

6. Seq2Seq and Neural Machine Translation (Intermediate)/1. Translation Section Introduction.mp4

18 MB

6. Seq2Seq and Neural Machine Translation (Intermediate)/1. Translation Section Introduction.srt

6.4 kB

6. Seq2Seq and Neural Machine Translation (Intermediate)/10. Train & Evaluate (Code Preparation).mp4

21 MB

6. Seq2Seq and Neural Machine Translation (Intermediate)/10. Train & Evaluate (Code Preparation).srt

5.6 kB

6. Seq2Seq and Neural Machine Translation (Intermediate)/11. Train & Evaluate (Code).mp4

36 MB

6. Seq2Seq and Neural Machine Translation (Intermediate)/11. Train & Evaluate (Code).srt

4.6 kB

6. Seq2Seq and Neural Machine Translation (Intermediate)/12. Translation Section Summary.mp4

9.8 MB

6. Seq2Seq and Neural Machine Translation (Intermediate)/12. Translation Section Summary.srt

3.3 kB

6. Seq2Seq and Neural Machine Translation (Intermediate)/2. Data & Tokenizer (Code Preparation).mp4

24 MB

6. Seq2Seq and Neural Machine Translation (Intermediate)/2. Data & Tokenizer (Code Preparation).srt

7.5 kB

6. Seq2Seq and Neural Machine Translation (Intermediate)/3. Things Move Fast.mp4

6.1 MB

6. Seq2Seq and Neural Machine Translation (Intermediate)/3. Things Move Fast.srt

2.4 kB

6. Seq2Seq and Neural Machine Translation (Intermediate)/4. Data & Tokenizer (Code).mp4

34 MB

6. Seq2Seq and Neural Machine Translation (Intermediate)/4. Data & Tokenizer (Code).srt

6.4 kB

6. Seq2Seq and Neural Machine Translation (Intermediate)/5. Aside Seq2Seq Basics (Optional).mp4

37 MB

6. Seq2Seq and Neural Machine Translation (Intermediate)/5. Aside Seq2Seq Basics (Optional).srt

15 kB

6. Seq2Seq and Neural Machine Translation (Intermediate)/6. Model Inputs (Code Preparation).mp4

32 MB

6. Seq2Seq and Neural Machine Translation (Intermediate)/6. Model Inputs (Code Preparation).srt

11 kB

6. Seq2Seq and Neural Machine Translation (Intermediate)/7. Model Inputs (Code).mp4

51 MB

6. Seq2Seq and Neural Machine Translation (Intermediate)/7. Model Inputs (Code).srt

7.8 kB

6. Seq2Seq and Neural Machine Translation (Intermediate)/8. Translation Metrics (BLEU Score & BERT Score) (Code Preparation).mp4

19 MB

6. Seq2Seq and Neural Machine Translation (Intermediate)/8. Translation Metrics (BLEU Score & BERT Score) (Code Preparation).srt

5.0 kB

6. Seq2Seq and Neural Machine Translation (Intermediate)/9. Translation Metrics (BLEU Score & BERT Score) (Code).mp4

43 MB

6. Seq2Seq and Neural Machine Translation (Intermediate)/9. Translation Metrics (BLEU Score & BERT Score) (Code).srt

6.3 kB

7. Question-Answering (Advanced)/1. Question-Answering Section Introduction.mp4

22 MB

7. Question-Answering (Advanced)/1. Question-Answering Section Introduction.srt

6.1 kB

7. Question-Answering (Advanced)/10. Question-Answering Metrics.mp4

16 MB

7. Question-Answering (Advanced)/10. Question-Answering Metrics.srt

4.7 kB

7. Question-Answering (Advanced)/11. Question-Answering Metrics in Python.mp4

23 MB

7. Question-Answering (Advanced)/11. Question-Answering Metrics in Python.srt

3.0 kB

7. Question-Answering (Advanced)/12. From Logits to Answers.mp4

96 MB

7. Question-Answering (Advanced)/12. From Logits to Answers.srt

28 kB

7. Question-Answering (Advanced)/13. From Logits to Answers in Python.mp4

121 MB

7. Question-Answering (Advanced)/13. From Logits to Answers in Python.srt

17 kB

7. Question-Answering (Advanced)/14. Computing Metrics.mp4

25 MB

7. Question-Answering (Advanced)/14. Computing Metrics.srt

6.6 kB

7. Question-Answering (Advanced)/15. Computing Metrics in Python.mp4

44 MB

7. Question-Answering (Advanced)/15. Computing Metrics in Python.srt

6.1 kB

7. Question-Answering (Advanced)/16. Train and Evaluate.mp4

14 MB

7. Question-Answering (Advanced)/16. Train and Evaluate.srt

3.3 kB

7. Question-Answering (Advanced)/17. Train and Evaluate in Python.mp4

38 MB

7. Question-Answering (Advanced)/17. Train and Evaluate in Python.srt

4.7 kB

7. Question-Answering (Advanced)/18. Question-Answering Section Summary.mp4

14 MB

7. Question-Answering (Advanced)/18. Question-Answering Section Summary.srt

5.0 kB

7. Question-Answering (Advanced)/2. Exploring the Dataset (SQuAD).mp4

20 MB

7. Question-Answering (Advanced)/2. Exploring the Dataset (SQuAD).srt

5.7 kB

7. Question-Answering (Advanced)/3. Exploring the Dataset (SQuAD) in Python.mp4

40 MB

7. Question-Answering (Advanced)/3. Exploring the Dataset (SQuAD) in Python.srt

4.7 kB

7. Question-Answering (Advanced)/4. Using the Tokenizer.mp4

34 MB

7. Question-Answering (Advanced)/4. Using the Tokenizer.srt

11 kB

7. Question-Answering (Advanced)/5. Using the Tokenizer in Python.mp4

72 MB

7. Question-Answering (Advanced)/5. Using the Tokenizer in Python.srt

13 kB

7. Question-Answering (Advanced)/6. Aligning the Targets.mp4

69 MB

7. Question-Answering (Advanced)/6. Aligning the Targets.srt

19 kB

7. Question-Answering (Advanced)/7. Aligning the Targets in Python.mp4

103 MB

7. Question-Answering (Advanced)/7. Aligning the Targets in Python.srt

19 kB

7. Question-Answering (Advanced)/8. Applying the Tokenizer.mp4

45 MB

7. Question-Answering (Advanced)/8. Applying the Tokenizer.srt

12 kB

7. Question-Answering (Advanced)/9. Applying the Tokenizer in Python.mp4

76 MB

7. Question-Answering (Advanced)/9. Applying the Tokenizer in Python.srt

12 kB

7. Question-Answering (Advanced)/GetFreeCourses.Co.url

116 B

8. Transformers and Attention Theory (Advanced)/1. Theory Section Introduction.mp4

17 MB

8. Transformers and Attention Theory (Advanced)/1. Theory Section Introduction.srt

6.9 kB

8. Transformers and Attention Theory (Advanced)/10. Decoder Architecture.mp4

50 MB

8. Transformers and Attention Theory (Advanced)/10. Decoder Architecture.srt

15 kB

8. Transformers and Attention Theory (Advanced)/11. Encoder-Decoder Architecture.mp4

40 MB

8. Transformers and Attention Theory (Advanced)/11. Encoder-Decoder Architecture.srt

11 kB

8. Transformers and Attention Theory (Advanced)/12. BERT.mp4

23 MB

8. Transformers and Attention Theory (Advanced)/12. BERT.srt

6.1 kB

8. Transformers and Attention Theory (Advanced)/13. GPT.mp4

31 MB

8. Transformers and Attention Theory (Advanced)/13. GPT.srt

8.6 kB

8. Transformers and Attention Theory (Advanced)/14. GPT-2.mp4

30 MB

8. Transformers and Attention Theory (Advanced)/14. GPT-2.srt

8.3 kB

8. Transformers and Attention Theory (Advanced)/15. GPT-3.mp4

24 MB

8. Transformers and Attention Theory (Advanced)/15. GPT-3.srt

6.6 kB

8. Transformers and Attention Theory (Advanced)/16. Theory Section Summary.mp4

21 MB

8. Transformers and Attention Theory (Advanced)/16. Theory Section Summary.srt

6.3 kB

8. Transformers and Attention Theory (Advanced)/2. Basic Self-Attention.mp4

37 MB

8. Transformers and Attention Theory (Advanced)/2. Basic Self-Attention.srt

12 kB

8. Transformers and Attention Theory (Advanced)/3. Self-Attention & Scaled Dot-Product Attention.mp4

64 MB

8. Transformers and Attention Theory (Advanced)/3. Self-Attention & Scaled Dot-Product Attention.srt

24 kB

8. Transformers and Attention Theory (Advanced)/4. Attention Efficiency.mp4

22 MB

8. Transformers and Attention Theory (Advanced)/4. Attention Efficiency.srt

5.9 kB

8. Transformers and Attention Theory (Advanced)/5. Attention Mask.mp4

15 MB

8. Transformers and Attention Theory (Advanced)/5. Attention Mask.srt

5.0 kB

8. Transformers and Attention Theory (Advanced)/6. Multi-Head Attention.mp4

34 MB

8. Transformers and Attention Theory (Advanced)/6. Multi-Head Attention.srt

9.4 kB

8. Transformers and Attention Theory (Advanced)/7. Transformer Block.mp4

30 MB

8. Transformers and Attention Theory (Advanced)/7. Transformer Block.srt

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8. Transformers and Attention Theory (Advanced)/8. Positional Encodings.mp4

29 MB

8. Transformers and Attention Theory (Advanced)/8. Positional Encodings.srt

9.5 kB

8. Transformers and Attention Theory (Advanced)/9. Encoder Architecture.mp4

25 MB

8. Transformers and Attention Theory (Advanced)/9. Encoder Architecture.srt

8.6 kB

9. Implement Transformers From Scratch (Advanced)/1. Implementation Section Introduction.mp4

26 MB

9. Implement Transformers From Scratch (Advanced)/1. Implementation Section Introduction.srt

8.5 kB

9. Implement Transformers From Scratch (Advanced)/10. How to Train a Causal Language Model From Scratch.mp4

120 MB

9. Implement Transformers From Scratch (Advanced)/10. How to Train a Causal Language Model From Scratch.srt

20 kB

9. Implement Transformers From Scratch (Advanced)/11. Implement a Seq2Seq Transformer From Scratch for Language Translation (pt 1).mp4

94 MB

9. Implement Transformers From Scratch (Advanced)/11. Implement a Seq2Seq Transformer From Scratch for Language Translation (pt 1).srt

13 kB

9. Implement Transformers From Scratch (Advanced)/12. Implement a Seq2Seq Transformer From Scratch for Language Translation (pt 2).mp4

95 MB

9. Implement Transformers From Scratch (Advanced)/12. Implement a Seq2Seq Transformer From Scratch for Language Translation (pt 2).srt

15 kB

9. Implement Transformers From Scratch (Advanced)/13. Implement a Seq2Seq Transformer From Scratch for Language Translation (pt 3).mp4

109 MB

9. Implement Transformers From Scratch (Advanced)/13. Implement a Seq2Seq Transformer From Scratch for Language Translation (pt 3).srt

18 kB

9. Implement Transformers From Scratch (Advanced)/14. Implementation Section Summary.mp4

11 MB

9. Implement Transformers From Scratch (Advanced)/14. Implementation Section Summary.srt

2.0 kB

9. Implement Transformers From Scratch (Advanced)/2. Encoder Implementation Plan & Outline.mp4

23 MB

9. Implement Transformers From Scratch (Advanced)/2. Encoder Implementation Plan & Outline.srt

8.4 kB

9. Implement Transformers From Scratch (Advanced)/3. How to Implement Multihead Attention From Scratch.mp4

93 MB

9. Implement Transformers From Scratch (Advanced)/3. How to Implement Multihead Attention From Scratch.srt

16 kB

9. Implement Transformers From Scratch (Advanced)/4. How to Implement the Transformer Block From Scratch.mp4

15 MB

9. Implement Transformers From Scratch (Advanced)/4. How to Implement the Transformer Block From Scratch.srt

2.4 kB

9. Implement Transformers From Scratch (Advanced)/5. How to Implement Positional Encoding From Scratch.mp4

36 MB

9. Implement Transformers From Scratch (Advanced)/5. How to Implement Positional Encoding From Scratch.srt

6.3 kB

9. Implement Transformers From Scratch (Advanced)/6. How to Implement Transformer Encoder From Scratch.mp4

27 MB

9. Implement Transformers From Scratch (Advanced)/6. How to Implement Transformer Encoder From Scratch.srt

4.8 kB

9. Implement Transformers From Scratch (Advanced)/7. Train and Evaluate Encoder From Scratch.mp4

89 MB

9. Implement Transformers From Scratch (Advanced)/7. Train and Evaluate Encoder From Scratch.srt

12 kB

9. Implement Transformers From Scratch (Advanced)/8. How to Implement Causal Self-Attention From Scratch.mp4

39 MB

9. Implement Transformers From Scratch (Advanced)/8. How to Implement Causal Self-Attention From Scratch.srt

5.7 kB

9. Implement Transformers From Scratch (Advanced)/9. How to Implement a Transformer Decoder (GPT) From Scratch.mp4

27 MB

9. Implement Transformers From Scratch (Advanced)/9. How to Implement a Transformer Decoder (GPT) From Scratch.srt

4.9 kB

Download Paid Udemy Courses For Free.url

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GetFreeCourses.Co.url

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How you can help GetFreeCourses.Co.txt

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