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

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

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GetFreeCourses.Co-Udemy-Data Science Transformers for Natural Language Processing.torrent
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INFOHASH
0c83610b6bd36929682b5042a3507e6c15d4ade3
SIZE
5.6 GB in 97 files
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Uploaded on 04-10-2023 by our crawler pet called "Spidey".
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Description

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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Files in this torrent

FILENAMESIZE
1. Welcome/1. Introduction.mp434.6 MB
1. Welcome/1. Introduction.srt5.6 KB
1. Welcome/2. Outline.mp450.7 MB
1. Welcome/2. Outline.srt13.5 KB
10. Extras/1. Data Links.html256 B
11. Setting Up Your Environment FAQ/1. Anaconda Environment Setup.mp452.6 MB
11. Setting Up Your Environment FAQ/1. Anaconda Environment Setup.srt20.1 KB
11. Setting Up Your Environment FAQ/2. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.mp443.6 MB
11. Setting Up Your Environment FAQ/2. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.srt15.8 KB
12. Extra Help With Python Coding for Beginners FAQ/1. How to Code by Yourself (part 1).mp471.8 MB
12. Extra Help With Python Coding for Beginners FAQ/1. How to Code by Yourself (part 1).srt23.1 KB
12. Extra Help With Python Coding for Beginners FAQ/2. How to Code by Yourself (part 2).mp449.1 MB
12. Extra Help With Python Coding for Beginners FAQ/2. How to Code by Yourself (part 2).srt13.2 KB
12. Extra Help With Python Coding for Beginners FAQ/3. Proof that using Jupyter Notebook is the same as not using it.mp469.4 MB
12. Extra Help With Python Coding for Beginners FAQ/3. Proof that using Jupyter Notebook is the same as not using it.srt14.9 KB
13. Effective Learning Strategies for Machine Learning FAQ/1. How to Succeed in this Course (Long Version).mp417.9 MB
13. Effective Learning Strategies for Machine Learning FAQ/1. How to Succeed in this Course (Long Version).srt14.5 KB
13. Effective Learning Strategies for Machine Learning FAQ/2. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.mp439 MB
13. Effective Learning Strategies for Machine Learning FAQ/2. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.srt32.7 KB
13. Effective Learning Strategies for Machine Learning FAQ/3. Machine Learning and AI Prerequisite Roadmap (pt 1).mp479.7 MB
13. Effective Learning Strategies for Machine Learning FAQ/3. Machine Learning and AI Prerequisite Roadmap (pt 1).srt17.1 KB
13. Effective Learning Strategies for Machine Learning FAQ/4. Machine Learning and AI Prerequisite Roadmap (pt 2).mp4108.2 MB
13. Effective Learning Strategies for Machine Learning FAQ/4. Machine Learning and AI Prerequisite Roadmap (pt 2).srt23.9 KB
14. Appendix FAQ Finale/1. What is the Appendix.mp416.4 MB
14. Appendix FAQ Finale/1. What is the Appendix.srt3.9 KB
14. Appendix FAQ Finale/2. BONUS.mp439.9 MB
14. Appendix FAQ Finale/2. BONUS.srt7.9 KB
2. Getting Setup/1. Get Your Hands Dirty, Practical Coding Experience, Data Links.mp443.6 MB
2. Getting Setup/1. Get Your Hands Dirty, Practical Coding Experience, Data Links.srt12 KB
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 MB
2. Getting Setup/2. How to use Github & Extra Coding Tips (Optional).srt15.7 KB
2. Getting Setup/3. Where to get the code, notebooks, and data.mp417.8 MB
2. Getting Setup/3. Where to get the code, notebooks, and data.srt4.3 KB
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!.mp426.7 MB
2. Getting Setup/4. Are You Beginner, Intermediate, or Advanced All are OK!.srt7.1 KB
2. Getting Setup/5. How to Succeed in This Course.mp441.2 MB
2. Getting Setup/5. How to Succeed in This Course.srt13 KB
3. Beginner's Corner/1. Beginner's Corner Section Introduction.mp449.7 MB
3. Beginner's Corner/1. Beginner's Corner Section Introduction.srt15.1 KB
3. Beginner's Corner/10. Named Entity Recognition (NER) in Python.mp470.2 MB
3. Beginner's Corner/10. Named Entity Recognition (NER) in Python.srt9.6 KB
3. Beginner's Corner/11. Text Summarization.mp424.1 MB
3. Beginner's Corner/11. Text Summarization.srt7.1 KB
3. Beginner's Corner/12. Text Summarization in Python.mp445.5 MB
3. Beginner's Corner/12. Text Summarization in Python.srt7.6 KB
3. Beginner's Corner/13. Neural Machine Translation.mp428.1 MB
3. Beginner's Corner/13. Neural Machine Translation.srt8.1 KB
3. Beginner's Corner/14. Neural Machine Translation in Python.mp464.1 MB
3. Beginner's Corner/14. Neural Machine Translation in Python.srt9.7 KB
3. Beginner's Corner/15. Question Answering.mp440.1 MB
3. Beginner's Corner/15. Question Answering.srt10 KB
3. Beginner's Corner/16. Question Answering in Python.mp448.2 MB
3. Beginner's Corner/16. Question Answering in Python.srt7 KB
3. Beginner's Corner/17. Zero-Shot Classification.mp430.1 MB
3. Beginner's Corner/17. Zero-Shot Classification.srt7.6 KB
3. Beginner's Corner/18. Zero-Shot Classification in Python.mp487.6 MB
3. Beginner's Corner/18. Zero-Shot Classification in Python.srt16.4 KB
3. Beginner's Corner/19. Beginner's Corner Section Summary.mp423.2 MB
3. Beginner's Corner/19. Beginner's Corner Section Summary.srt6.4 KB
3. Beginner's Corner/2. From RNNs to Attention and Transformers - Intuition.mp478.2 MB
3. Beginner's Corner/2. From RNNs to Attention and Transformers - Intuition.srt24 KB
3. Beginner's Corner/20. Suggestion Box.mp427.2 MB
3. Beginner's Corner/20. Suggestion Box.srt4.8 KB
3. Beginner's Corner/3. Sentiment Analysis.mp453.6 MB
3. Beginner's Corner/3. Sentiment Analysis.srt14.5 KB
3. Beginner's Corner/4. Sentiment Analysis in Python.mp497.1 MB
3. Beginner's Corner/4. Sentiment Analysis in Python.srt21.1 KB
3. Beginner's Corner/5. Text Generation.mp457.1 MB
3. Beginner's Corner/5. Text Generation.srt15.5 KB
3. Beginner's Corner/6. Text Generation in Python.mp486.3 MB
3. Beginner's Corner/6. Text Generation in Python.srt14.9 KB
3. Beginner's Corner/7. Masked Language Modeling (Article Spinner).mp467.3 MB
3. Beginner's Corner/7. Masked Language Modeling (Article Spinner).srt16.1 KB
3. Beginner's Corner/8. Masked Language Modeling (Article Spinner) in Python.mp467.1 MB
3. Beginner's Corner/8. Masked Language Modeling (Article Spinner) in Python.srt9.2 KB
3. Beginner's Corner/9. Named Entity Recognition (NER).mp422 MB
3. Beginner's Corner/9. Named Entity Recognition (NER).srt6.2 KB
4. Fine-Tuning (Intermediate)/1. Fine-Tuning Section Introduction.mp420.2 MB
4. Fine-Tuning (Intermediate)/1. Fine-Tuning Section Introduction.srt6.1 KB
4. Fine-Tuning (Intermediate)/10. Fine-Tuning Transformers with Custom Dataset.mp4106.9 MB
4. Fine-Tuning (Intermediate)/10. Fine-Tuning Transformers with Custom Dataset.srt15.1 KB
4. Fine-Tuning (Intermediate)/11. Hugging Face AutoConfig.mp440.9 MB
4. Fine-Tuning (Intermediate)/11. Hugging Face AutoConfig.srt6 KB
4. Fine-Tuning (Intermediate)/12. Fine-Tuning with Multiple Inputs (Textual Entailment).mp428.4 MB
4. Fine-Tuning (Intermediate)/12. Fine-Tuning with Multiple Inputs (Textual Entailment).srt10.3 KB
4. Fine-Tuning (Intermediate)/13. Fine-Tuning Transformers with Multiple Inputs in Python.mp456.7 MB
4. Fine-Tuning (Intermediate)/13. Fine-Tuning Transformers with Multiple Inputs in Python.srt6.6 KB
4. Fine-Tuning (Intermediate)/14. Fine-Tuning Section Summary.mp415.8 MB
4. Fine-Tuning (Intermediate)/14. Fine-Tuning Section Summary.srt4.1 KB
4. Fine-Tuning (Intermediate)/2. Text Preprocessing and Tokenization Review.mp463.2 MB
4. Fine-Tuning (Intermediate)/2. Text Preprocessing and Tokenization Review.srt18.2 KB
4. Fine-Tuning (Intermediate)/3. Models and Tokenizers.mp464.6 MB

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