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TORRENT DETAILS

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

TORRENT SUMMARY

	Status:	All the torrents in this section have been verified by our verification system
Category:	Other
Infohash	0c83610b6bd36929682b5042a3507e6c15d4ade3
Size:	5.6 GB in 97 files
Release Date(s):	Torrent Release: 04-09-2023 by user
Swarm:	0 Seeds & 0 Peers
Vote:	No votes yet.

DESCRIPTION

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FILE LIST

Filename		Size
	1. Welcome/1. Introduction.mp4	34.6 MB
	1. Welcome/1. Introduction.srt	5.6 KB
	1. Welcome/2. Outline.mp4	50.7 MB
	1. Welcome/2. Outline.srt	13.5 KB
	10. Extras/1. Data Links.html	256 B
	11. Setting Up Your Environment FAQ/1. Anaconda Environment Setup.mp4	52.6 MB
	11. Setting Up Your Environment FAQ/1. Anaconda Environment Setup.srt	20.1 KB
	11. Setting Up Your Environment FAQ/2. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.mp4	43.6 MB
	11. Setting Up Your Environment FAQ/2. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.srt	15.8 KB
	12. Extra Help With Python Coding for Beginners FAQ/1. How to Code by Yourself (part 1).mp4	71.8 MB
	12. Extra Help With Python Coding for Beginners FAQ/1. How to Code by Yourself (part 1).srt	23.1 KB
	12. Extra Help With Python Coding for Beginners FAQ/2. How to Code by Yourself (part 2).mp4	49.1 MB
	12. Extra Help With Python Coding for Beginners FAQ/2. How to Code by Yourself (part 2).srt	13.2 KB
	12. Extra Help With Python Coding for Beginners FAQ/3. Proof that using Jupyter Notebook is the same as not using it.mp4	69.4 MB
	12. Extra Help With Python Coding for Beginners FAQ/3. Proof that using Jupyter Notebook is the same as not using it.srt	14.9 KB
	13. Effective Learning Strategies for Machine Learning FAQ/1. How to Succeed in this Course (Long Version).mp4	17.9 MB
	13. Effective Learning Strategies for Machine Learning FAQ/1. How to Succeed in this Course (Long Version).srt	14.5 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	32.7 KB
	13. Effective Learning Strategies for Machine Learning FAQ/3. Machine Learning and AI Prerequisite Roadmap (pt 1).mp4	79.7 MB
	13. Effective Learning Strategies for Machine Learning FAQ/3. Machine Learning and AI Prerequisite Roadmap (pt 1).srt	17.1 KB
	13. Effective Learning Strategies for Machine Learning FAQ/4. Machine Learning and AI Prerequisite Roadmap (pt 2).mp4	108.2 MB
	13. Effective Learning Strategies for Machine Learning FAQ/4. Machine Learning and AI Prerequisite Roadmap (pt 2).srt	23.9 KB
	14. Appendix FAQ Finale/1. What is the Appendix.mp4	16.4 MB
	14. Appendix FAQ Finale/1. What is the Appendix.srt	3.9 KB
	14. Appendix FAQ Finale/2. BONUS.mp4	39.9 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	43.6 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	63.9 MB
	2. Getting Setup/2. How to use Github & Extra Coding Tips (Optional).srt	15.7 KB
	2. Getting Setup/3. Where to get the code, notebooks, and data.mp4	17.8 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	26.7 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	41.2 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	49.7 MB
	3. Beginner's Corner/1. Beginner's Corner Section Introduction.srt	15.1 KB
	3. Beginner's Corner/10. Named Entity Recognition (NER) in Python.mp4	70.2 MB
	3. Beginner's Corner/10. Named Entity Recognition (NER) in Python.srt	9.6 KB
	3. Beginner's Corner/11. Text Summarization.mp4	24.1 MB
	3. Beginner's Corner/11. Text Summarization.srt	7.1 KB
	3. Beginner's Corner/12. Text Summarization in Python.mp4	45.5 MB
	3. Beginner's Corner/12. Text Summarization in Python.srt	7.6 KB
	3. Beginner's Corner/13. Neural Machine Translation.mp4	28.1 MB
	3. Beginner's Corner/13. Neural Machine Translation.srt	8.1 KB
	3. Beginner's Corner/14. Neural Machine Translation in Python.mp4	64.1 MB
	3. Beginner's Corner/14. Neural Machine Translation in Python.srt	9.7 KB
	3. Beginner's Corner/15. Question Answering.mp4	40.1 MB
	3. Beginner's Corner/15. Question Answering.srt	10 KB
	3. Beginner's Corner/16. Question Answering in Python.mp4	48.2 MB
	3. Beginner's Corner/16. Question Answering in Python.srt	7 KB
	3. Beginner's Corner/17. Zero-Shot Classification.mp4	30.1 MB
	3. Beginner's Corner/17. Zero-Shot Classification.srt	7.6 KB
	3. Beginner's Corner/18. Zero-Shot Classification in Python.mp4	87.6 MB
	3. Beginner's Corner/18. Zero-Shot Classification in Python.srt	16.4 KB
	3. Beginner's Corner/19. Beginner's Corner Section Summary.mp4	23.2 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	78.2 MB
	3. Beginner's Corner/2. From RNNs to Attention and Transformers - Intuition.srt	24 KB
	3. Beginner's Corner/20. Suggestion Box.mp4	27.2 MB
	3. Beginner's Corner/20. Suggestion Box.srt	4.8 KB
	3. Beginner's Corner/3. Sentiment Analysis.mp4	53.6 MB
	3. Beginner's Corner/3. Sentiment Analysis.srt	14.5 KB
	3. Beginner's Corner/4. Sentiment Analysis in Python.mp4	97.1 MB
	3. Beginner's Corner/4. Sentiment Analysis in Python.srt	21.1 KB
	3. Beginner's Corner/5. Text Generation.mp4	57.1 MB
	3. Beginner's Corner/5. Text Generation.srt	15.5 KB
	3. Beginner's Corner/6. Text Generation in Python.mp4	86.3 MB
	3. Beginner's Corner/6. Text Generation in Python.srt	14.9 KB
	3. Beginner's Corner/7. Masked Language Modeling (Article Spinner).mp4	67.3 MB
	3. Beginner's Corner/7. Masked Language Modeling (Article Spinner).srt	16.1 KB
	3. Beginner's Corner/8. Masked Language Modeling (Article Spinner) in Python.mp4	67.1 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	20.2 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	106.9 MB
	4. Fine-Tuning (Intermediate)/10. Fine-Tuning Transformers with Custom Dataset.srt	15.1 KB
	4. Fine-Tuning (Intermediate)/11. Hugging Face AutoConfig.mp4	40.9 MB
	4. Fine-Tuning (Intermediate)/11. Hugging Face AutoConfig.srt	6 KB
	4. Fine-Tuning (Intermediate)/12. Fine-Tuning with Multiple Inputs (Textual Entailment).mp4	28.4 MB
	4. Fine-Tuning (Intermediate)/12. Fine-Tuning with Multiple Inputs (Textual Entailment).srt	10.3 KB
	4. Fine-Tuning (Intermediate)/13. Fine-Tuning Transformers with Multiple Inputs in Python.mp4	56.7 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	15.8 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	63.2 MB
	4. Fine-Tuning (Intermediate)/2. Text Preprocessing and Tokenization Review.srt	18.2 KB
	4. Fine-Tuning (Intermediate)/3. Models and Tokenizers.mp4	64.6 MB

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