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文档列表

04 - Fine-Tuning (Intermediate)/009 Fine-Tuning Sentiment Analysis in Python.mp4 137.1 MB
05 - Named Entity Recognition (NER) and POS Tagging/014 POS Tagging & Custom Datasets (Solution).mp4 120.7 MB
11 - Effective Learning Strategies for Machine Learning FAQ/004 Machine Learning and AI Prerequisite Roadmap (pt 2).mp4 113.4 MB
04 - Fine-Tuning (Intermediate)/010 Fine-Tuning Transformers with Custom Dataset.mp4 112.0 MB
03 - Beginner's Corner/004 Sentiment Analysis in Python.mp4 101.8 MB
03 - Beginner's Corner/018 Zero-Shot Classification in Python.mp4 91.9 MB
03 - Beginner's Corner/006 Text Generation in Python.mp4 90.5 MB
04 - Fine-Tuning (Intermediate)/004 Models and Tokenizers in Python.mp4 88.4 MB
11 - Effective Learning Strategies for Machine Learning FAQ/003 Machine Learning and AI Prerequisite Roadmap (pt 1).mp4 83.5 MB
03 - Beginner's Corner/002 From RNNs to Attention and Transformers - Intuition.mp4 82.0 MB
10 - Extra Help With Python Coding for Beginners FAQ/001 How to Code by Yourself (part 1).mp4 75.3 MB
03 - Beginner's Corner/010 Named Entity Recognition (NER) in Python.mp4 73.6 MB
10 - Extra Help With Python Coding for Beginners FAQ/003 Proof that using Jupyter Notebook is the same as not using it.mp4 72.8 MB
03 - Beginner's Corner/007 Masked Language Modeling (Article Spinner).mp4 70.6 MB
03 - Beginner's Corner/008 Masked Language Modeling (Article Spinner) in Python.mp4 70.3 MB
04 - Fine-Tuning (Intermediate)/003 Models and Tokenizers.mp4 67.7 MB
07 - Transformers and Attention Theory (Advanced)/003 Self-Attention & Scaled Dot-Product Attention.mp4 67.4 MB
03 - Beginner's Corner/014 Neural Machine Translation in Python.mp4 67.2 MB
04 - Fine-Tuning (Intermediate)/002 Text Preprocessing and Tokenization Review.mp4 66.2 MB
05 - Named Entity Recognition (NER) and POS Tagging/006 Target Alignment (Code).mp4 64.6 MB
04 - Fine-Tuning (Intermediate)/005 Transfer Learning & Fine-Tuning (pt 1).mp4 62.7 MB
04 - Fine-Tuning (Intermediate)/008 Fine-Tuning Sentiment Analysis and the GLUE Benchmark.mp4 61.3 MB
03 - Beginner's Corner/005 Text Generation.mp4 59.9 MB
04 - Fine-Tuning (Intermediate)/007 Transfer Learning & Fine-Tuning (pt 3).mp4 59.4 MB
04 - Fine-Tuning (Intermediate)/013 Fine-Tuning Transformers with Multiple Inputs in Python.mp4 59.4 MB
03 - Beginner's Corner/003 Sentiment Analysis.mp4 56.2 MB
09 - Setting Up Your Environment FAQ/001 Anaconda Environment Setup.mp4 55.2 MB
06 - Seq2Seq and Neural Machine Translation/006 Model Inputs (Code).mp4 53.9 MB
02 - Getting Setup/002 How to use Github & Extra Coding Tips (Optional).mp4 53.3 MB
01 - Welcome/002 Outline.mp4 53.1 MB
03 - Beginner's Corner/001 Beginner's Corner Section Introduction.mp4 52.2 MB
04 - Fine-Tuning (Intermediate)/006 Transfer Learning & Fine-Tuning (pt 2).mp4 51.7 MB
10 - Extra Help With Python Coding for Beginners FAQ/002 How to Code by Yourself (part 2).mp4 51.5 MB
03 - Beginner's Corner/016 Question Answering in Python.mp4 50.5 MB
03 - Beginner's Corner/012 Text Summarization in Python.mp4 47.7 MB
09 - Setting Up Your Environment FAQ/002 How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.mp4 45.7 MB
06 - Seq2Seq and Neural Machine Translation/008 Translation Metrics (BLEU Score & BERT Score) (Code).mp4 45.4 MB
05 - Named Entity Recognition (NER) and POS Tagging/004 Target Alignment (Code Preparation).mp4 45.1 MB
05 - Named Entity Recognition (NER) and POS Tagging/003 Data & Tokenizer (Code).mp4 44.8 MB
04 - Fine-Tuning (Intermediate)/011 Hugging Face AutoConfig.mp4 42.8 MB
02 - Getting Setup/001 Where to get the code and data.mp4 42.5 MB
03 - Beginner's Corner/015 Question Answering.mp4 42.0 MB
05 - Named Entity Recognition (NER) and POS Tagging/010 Metrics (Code).mp4 41.2 MB
11 - Effective Learning Strategies for Machine Learning FAQ/002 Is this for Beginners or Experts Academic or Practical Fast or slow-paced.mp4 40.8 MB
12 - Appendix FAQ Finale/002 BONUS.mp4 39.7 MB
06 - Seq2Seq and Neural Machine Translation/004 Aside Seq2Seq Basics (Optional).mp4 38.9 MB
07 - Transformers and Attention Theory (Advanced)/002 Basic Self-Attention.mp4 38.8 MB
05 - Named Entity Recognition (NER) and POS Tagging/001 Token Classification Section Introduction.mp4 37.6 MB
06 - Seq2Seq and Neural Machine Translation/010 Train & Evaluate (Code).mp4 37.5 MB
01 - Welcome/001 Introduction.mp4 36.3 MB
06 - Seq2Seq and Neural Machine Translation/003 Data & Tokenizer (Code).mp4 35.8 MB
07 - Transformers and Attention Theory (Advanced)/006 Multi-Head Attention.mp4 35.3 MB
05 - Named Entity Recognition (NER) and POS Tagging/009 Metrics (Code Preparation).mp4 35.1 MB
06 - Seq2Seq and Neural Machine Translation/005 Model Inputs (Code Preparation).mp4 34.0 MB
03 - Beginner's Corner/017 Zero-Shot Classification.mp4 31.6 MB
07 - Transformers and Attention Theory (Advanced)/007 Transformer Block.mp4 30.9 MB
07 - Transformers and Attention Theory (Advanced)/008 Positional Encodings.mp4 30.4 MB
04 - Fine-Tuning (Intermediate)/012 Fine-Tuning with Multiple Inputs (Textual Entailment).mp4 29.8 MB
03 - Beginner's Corner/013 Neural Machine Translation.mp4 29.5 MB
02 - Getting Setup/003 Are You Beginner, Intermediate, or Advanced All are OK!.mp4 28.0 MB
07 - Transformers and Attention Theory (Advanced)/009 Encoder Architecture.mp4 26.4 MB
06 - Seq2Seq and Neural Machine Translation/002 Data & Tokenizer (Code Preparation).mp4 25.7 MB
03 - Beginner's Corner/011 Text Summarization.mp4 25.3 MB
03 - Beginner's Corner/019 Beginner's Corner Section Summary.mp4 24.3 MB
05 - Named Entity Recognition (NER) and POS Tagging/012 Model and Trainer (Code).mp4 23.3 MB
05 - Named Entity Recognition (NER) and POS Tagging/007 Data Collator (Code Preparation).mp4 23.2 MB
03 - Beginner's Corner/009 Named Entity Recognition (NER).mp4 23.1 MB
07 - Transformers and Attention Theory (Advanced)/004 Attention Efficiency.mp4 22.6 MB
05 - Named Entity Recognition (NER) and POS Tagging/013 POS Tagging & Custom Datasets (Exercise Prompt).mp4 22.4 MB
06 - Seq2Seq and Neural Machine Translation/009 Train & Evaluate (Code Preparation).mp4 22.3 MB
04 - Fine-Tuning (Intermediate)/001 Fine-Tuning Section Introduction.mp4 21.1 MB
05 - Named Entity Recognition (NER) and POS Tagging/002 Data & Tokenizer (Code Preparation).mp4 20.3 MB
06 - Seq2Seq and Neural Machine Translation/007 Translation Metrics (BLEU Score & BERT Score) (Code Preparation).mp4 20.2 MB
05 - Named Entity Recognition (NER) and POS Tagging/005 Create Tokenized Dataset (Code Preparation).mp4 19.2 MB
06 - Seq2Seq and Neural Machine Translation/001 Translation Section Introduction.mp4 19.1 MB
11 - Effective Learning Strategies for Machine Learning FAQ/001 How to Succeed in this Course (Long Version).mp4 18.7 MB
07 - Transformers and Attention Theory (Advanced)/001 Theory Section Introduction.mp4 18.0 MB
05 - Named Entity Recognition (NER) and POS Tagging/008 Data Collator (Code).mp4 17.8 MB
12 - Appendix FAQ Finale/001 What is the Appendix.mp4 17.2 MB
04 - Fine-Tuning (Intermediate)/014 Fine-Tuning Section Summary.mp4 16.5 MB
07 - Transformers and Attention Theory (Advanced)/005 Attention Mask.mp4 15.8 MB
05 - Named Entity Recognition (NER) and POS Tagging/011 Model and Trainer (Code Preparation).mp4 11.3 MB
06 - Seq2Seq and Neural Machine Translation/011 Translation Section Summary.mp4 10.2 MB
05 - Named Entity Recognition (NER) and POS Tagging/015 Token Classification Section Summary.mp4 8.4 MB
11 - Effective Learning Strategies for Machine Learning FAQ/002 Is this for Beginners or Experts Academic or Practical Fast or slow-paced_en.srt 33.5 kB
03 - Beginner's Corner/002 From RNNs to Attention and Transformers - Intuition_en.srt 24.6 kB
07 - Transformers and Attention Theory (Advanced)/003 Self-Attention & Scaled Dot-Product Attention_en.srt 24.5 kB
11 - Effective Learning Strategies for Machine Learning FAQ/004 Machine Learning and AI Prerequisite Roadmap (pt 2)_en.srt 24.5 kB
10 - Extra Help With Python Coding for Beginners FAQ/001 How to Code by Yourself (part 1)_en.srt 23.7 kB
03 - Beginner's Corner/004 Sentiment Analysis in Python_en.srt 21.6 kB
04 - Fine-Tuning (Intermediate)/003 Models and Tokenizers_en.srt 21.1 kB
09 - Setting Up Your Environment FAQ/001 Anaconda Environment Setup_en.srt 20.6 kB
04 - Fine-Tuning (Intermediate)/009 Fine-Tuning Sentiment Analysis in Python_en.srt 19.8 kB
04 - Fine-Tuning (Intermediate)/002 Text Preprocessing and Tokenization Review_en.srt 18.7 kB
05 - Named Entity Recognition (NER) and POS Tagging/014 POS Tagging & Custom Datasets (Solution)_en.srt 18.3 kB
11 - Effective Learning Strategies for Machine Learning FAQ/003 Machine Learning and AI Prerequisite Roadmap (pt 1)_en.srt 17.6 kB
04 - Fine-Tuning (Intermediate)/008 Fine-Tuning Sentiment Analysis and the GLUE Benchmark_en.srt 17.3 kB
03 - Beginner's Corner/018 Zero-Shot Classification in Python_en.srt 16.8 kB
03 - Beginner's Corner/007 Masked Language Modeling (Article Spinner)_en.srt 16.5 kB
09 - Setting Up Your Environment FAQ/002 How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow_en.srt 16.2 kB
03 - Beginner's Corner/005 Text Generation_en.srt 15.8 kB
06 - Seq2Seq and Neural Machine Translation/004 Aside Seq2Seq Basics (Optional)_en.srt 15.6 kB
04 - Fine-Tuning (Intermediate)/010 Fine-Tuning Transformers with Custom Dataset_en.srt 15.5 kB
03 - Beginner's Corner/001 Beginner's Corner Section Introduction_en.srt 15.4 kB
03 - Beginner's Corner/006 Text Generation in Python_en.srt 15.3 kB
10 - Extra Help With Python Coding for Beginners FAQ/003 Proof that using Jupyter Notebook is the same as not using it_en.srt 15.3 kB
04 - Fine-Tuning (Intermediate)/006 Transfer Learning & Fine-Tuning (pt 2)_en.srt 14.9 kB
03 - Beginner's Corner/003 Sentiment Analysis_en.srt 14.9 kB
11 - Effective Learning Strategies for Machine Learning FAQ/001 How to Succeed in this Course (Long Version)_en.srt 14.9 kB
04 - Fine-Tuning (Intermediate)/004 Models and Tokenizers in Python_en.srt 14.5 kB
05 - Named Entity Recognition (NER) and POS Tagging/004 Target Alignment (Code Preparation)_en.srt 14.1 kB
04 - Fine-Tuning (Intermediate)/007 Transfer Learning & Fine-Tuning (pt 3)_en.srt 14.0 kB
01 - Welcome/002 Outline_en.srt 13.8 kB
10 - Extra Help With Python Coding for Beginners FAQ/002 How to Code by Yourself (part 2)_en.srt 13.6 kB
02 - Getting Setup/002 How to use Github & Extra Coding Tips (Optional)_en.srt 13.2 kB
04 - Fine-Tuning (Intermediate)/005 Transfer Learning & Fine-Tuning (pt 1)_en.srt 13.0 kB
07 - Transformers and Attention Theory (Advanced)/002 Basic Self-Attention_en.srt 12.7 kB
05 - Named Entity Recognition (NER) and POS Tagging/006 Target Alignment (Code)_en.srt 12.1 kB
06 - Seq2Seq and Neural Machine Translation/005 Model Inputs (Code Preparation)_en.srt 11.5 kB
02 - Getting Setup/001 Where to get the code and data_en.srt 10.8 kB
04 - Fine-Tuning (Intermediate)/012 Fine-Tuning with Multiple Inputs (Textual Entailment)_en.srt 10.6 kB
03 - Beginner's Corner/015 Question Answering_en.srt 10.3 kB
03 - Beginner's Corner/014 Neural Machine Translation in Python_en.srt 10.0 kB
03 - Beginner's Corner/010 Named Entity Recognition (NER) in Python_en.srt 9.9 kB
05 - Named Entity Recognition (NER) and POS Tagging/001 Token Classification Section Introduction_en.srt 9.8 kB
07 - Transformers and Attention Theory (Advanced)/007 Transformer Block_en.srt 9.8 kB
07 - Transformers and Attention Theory (Advanced)/008 Positional Encodings_en.srt 9.7 kB
07 - Transformers and Attention Theory (Advanced)/006 Multi-Head Attention_en.srt 9.6 kB
03 - Beginner's Corner/008 Masked Language Modeling (Article Spinner) in Python_en.srt 9.5 kB
05 - Named Entity Recognition (NER) and POS Tagging/003 Data & Tokenizer (Code)_en.srt 9.4 kB
05 - Named Entity Recognition (NER) and POS Tagging/009 Metrics (Code Preparation)_en.srt 9.4 kB
07 - Transformers and Attention Theory (Advanced)/009 Encoder Architecture_en.srt 8.8 kB
03 - Beginner's Corner/013 Neural Machine Translation_en.srt 8.3 kB
12 - Appendix FAQ Finale/002 BONUS_en.srt 8.1 kB
06 - Seq2Seq and Neural Machine Translation/006 Model Inputs (Code)_en.srt 8.0 kB
03 - Beginner's Corner/017 Zero-Shot Classification_en.srt 7.8 kB
03 - Beginner's Corner/012 Text Summarization in Python_en.srt 7.7 kB
06 - Seq2Seq and Neural Machine Translation/002 Data & Tokenizer (Code Preparation)_en.srt 7.7 kB
02 - Getting Setup/003 Are You Beginner, Intermediate, or Advanced All are OK!_en.srt 7.3 kB
03 - Beginner's Corner/011 Text Summarization_en.srt 7.3 kB
03 - Beginner's Corner/016 Question Answering in Python_en.srt 7.1 kB
07 - Transformers and Attention Theory (Advanced)/001 Theory Section Introduction_en.srt 7.0 kB
05 - Named Entity Recognition (NER) and POS Tagging/013 POS Tagging & Custom Datasets (Exercise Prompt)_en.srt 7.0 kB
05 - Named Entity Recognition (NER) and POS Tagging/002 Data & Tokenizer (Code Preparation)_en.srt 7.0 kB
04 - Fine-Tuning (Intermediate)/013 Fine-Tuning Transformers with Multiple Inputs in Python_en.srt 6.8 kB
06 - Seq2Seq and Neural Machine Translation/003 Data & Tokenizer (Code)_en.srt 6.6 kB
03 - Beginner's Corner/019 Beginner's Corner Section Summary_en.srt 6.5 kB
06 - Seq2Seq and Neural Machine Translation/001 Translation Section Introduction_en.srt 6.5 kB
06 - Seq2Seq and Neural Machine Translation/008 Translation Metrics (BLEU Score & BERT Score) (Code)_en.srt 6.5 kB
03 - Beginner's Corner/009 Named Entity Recognition (NER)_en.srt 6.4 kB
04 - Fine-Tuning (Intermediate)/001 Fine-Tuning Section Introduction_en.srt 6.3 kB
05 - Named Entity Recognition (NER) and POS Tagging/010 Metrics (Code)_en.srt 6.2 kB
04 - Fine-Tuning (Intermediate)/011 Hugging Face AutoConfig_en.srt 6.2 kB
07 - Transformers and Attention Theory (Advanced)/004 Attention Efficiency_en.srt 6.0 kB
01 - Welcome/001 Introduction_en.srt 5.8 kB
06 - Seq2Seq and Neural Machine Translation/009 Train & Evaluate (Code Preparation)_en.srt 5.8 kB
07 - Transformers and Attention Theory (Advanced)/005 Attention Mask_en.srt 5.2 kB
05 - Named Entity Recognition (NER) and POS Tagging/005 Create Tokenized Dataset (Code Preparation)_en.srt 5.1 kB
06 - Seq2Seq and Neural Machine Translation/007 Translation Metrics (BLEU Score & BERT Score) (Code Preparation)_en.srt 5.1 kB
05 - Named Entity Recognition (NER) and POS Tagging/007 Data Collator (Code Preparation)_en.srt 5.0 kB
06 - Seq2Seq and Neural Machine Translation/010 Train & Evaluate (Code)_en.srt 4.7 kB
04 - Fine-Tuning (Intermediate)/014 Fine-Tuning Section Summary_en.srt 4.2 kB
12 - Appendix FAQ Finale/001 What is the Appendix_en.srt 4.0 kB
05 - Named Entity Recognition (NER) and POS Tagging/008 Data Collator (Code)_en.srt 3.8 kB
06 - Seq2Seq and Neural Machine Translation/011 Translation Section Summary_en.srt 3.4 kB
05 - Named Entity Recognition (NER) and POS Tagging/012 Model and Trainer (Code)_en.srt 3.2 kB
05 - Named Entity Recognition (NER) and POS Tagging/011 Model and Trainer (Code Preparation)_en.srt 3.0 kB
05 - Named Entity Recognition (NER) and POS Tagging/015 Token Classification Section Summary_en.srt 2.7 kB
08 - Extras/001 Data Links.html 256 Bytes
02 - Getting Setup/external-assets-links.txt 215 Bytes
0. Websites you may like/[FreeCourseSite.com].url 127 Bytes
04 - Fine-Tuning (Intermediate)/0. Websites you may like/[FreeCourseSite.com].url 127 Bytes
11 - Effective Learning Strategies for Machine Learning FAQ/0. Websites you may like/[FreeCourseSite.com].url 127 Bytes
0. Websites you may like/[CourseClub.Me].url 122 Bytes
04 - Fine-Tuning (Intermediate)/0. Websites you may like/[CourseClub.Me].url 122 Bytes
11 - Effective Learning Strategies for Machine Learning FAQ/0. Websites you may like/[CourseClub.Me].url 122 Bytes
0. Websites you may like/[GigaCourse.Com].url 49 Bytes
04 - Fine-Tuning (Intermediate)/0. Websites you may like/[GigaCourse.Com].url 49 Bytes
11 - Effective Learning Strategies for Machine Learning FAQ/0. Websites you may like/[GigaCourse.Com].url 49 Bytes

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