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[FreeCourseSite.com] Udemy - Data Science Transformers for Natural Language Processing
magnet:?xt=urn:btih:5fd21320118958c45650e4f290709b193d475a32&dn=[FreeCourseSite.com] Udemy - Data Science Transformers for Natural Language Processing
磁力链接详情
Hash值:
5fd21320118958c45650e4f290709b193d475a32
点击数:
159
文件大小:
3.69 GB
文件数量:
84
创建日期:
2023-3-27 15:35
最后访问:
2024-6-16 08:28
访问标签:
FreeCourseSite
com
Udemy
-
Data
Science
Transformers
for
Natural
Language
Processing
文件列表详情
01 - Welcome/001 Introduction.mp4 34.6 MB
01 - Welcome/002 Outline.mp4 50.65 MB
02 - Getting Setup/001 Where to get the code and data.mp4 40.57 MB
02 - Getting Setup/002 How to use Github & Extra Coding Tips (Optional).mp4 50.83 MB
02 - Getting Setup/003 Are You Beginner, Intermediate, or Advanced All are OK!.mp4 26.73 MB
03 - Beginner's Corner/001 Beginner's Corner Section Introduction.mp4 49.75 MB
03 - Beginner's Corner/002 From RNNs to Attention and Transformers - Intuition.mp4 78.2 MB
03 - Beginner's Corner/003 Sentiment Analysis.mp4 53.6 MB
03 - Beginner's Corner/004 Sentiment Analysis in Python.mp4 97.04 MB
03 - Beginner's Corner/005 Text Generation.mp4 57.1 MB
03 - Beginner's Corner/006 Text Generation in Python.mp4 86.34 MB
03 - Beginner's Corner/007 Masked Language Modeling (Article Spinner).mp4 67.29 MB
03 - Beginner's Corner/008 Masked Language Modeling (Article Spinner) in Python.mp4 67.09 MB
03 - Beginner's Corner/009 Named Entity Recognition (NER).mp4 22.02 MB
03 - Beginner's Corner/010 Named Entity Recognition (NER) in Python.mp4 70.23 MB
03 - Beginner's Corner/011 Text Summarization.mp4 24.15 MB
03 - Beginner's Corner/012 Text Summarization in Python.mp4 45.47 MB
03 - Beginner's Corner/013 Neural Machine Translation.mp4 28.1 MB
03 - Beginner's Corner/014 Neural Machine Translation in Python.mp4 64.1 MB
03 - Beginner's Corner/015 Question Answering.mp4 40.1 MB
03 - Beginner's Corner/016 Question Answering in Python.mp4 48.15 MB
03 - Beginner's Corner/017 Zero-Shot Classification.mp4 30.12 MB
03 - Beginner's Corner/018 Zero-Shot Classification in Python.mp4 87.61 MB
03 - Beginner's Corner/019 Beginner's Corner Section Summary.mp4 23.18 MB
04 - Fine-Tuning (Intermediate)/001 Fine-Tuning Section Introduction.mp4 20.16 MB
04 - Fine-Tuning (Intermediate)/002 Text Preprocessing and Tokenization Review.mp4 63.16 MB
04 - Fine-Tuning (Intermediate)/003 Models and Tokenizers.mp4 64.57 MB
04 - Fine-Tuning (Intermediate)/004 Models and Tokenizers in Python.mp4 84.26 MB
04 - Fine-Tuning (Intermediate)/005 Transfer Learning & Fine-Tuning (pt 1).mp4 59.83 MB
04 - Fine-Tuning (Intermediate)/006 Transfer Learning & Fine-Tuning (pt 2).mp4 49.31 MB
04 - Fine-Tuning (Intermediate)/007 Transfer Learning & Fine-Tuning (pt 3).mp4 56.66 MB
04 - Fine-Tuning (Intermediate)/008 Fine-Tuning Sentiment Analysis and the GLUE Benchmark.mp4 58.43 MB
04 - Fine-Tuning (Intermediate)/009 Fine-Tuning Sentiment Analysis in Python.mp4 130.77 MB
04 - Fine-Tuning (Intermediate)/010 Fine-Tuning Transformers with Custom Dataset.mp4 106.85 MB
04 - Fine-Tuning (Intermediate)/011 Hugging Face AutoConfig.mp4 40.86 MB
04 - Fine-Tuning (Intermediate)/012 Fine-Tuning with Multiple Inputs (Textual Entailment).mp4 28.42 MB
04 - Fine-Tuning (Intermediate)/013 Fine-Tuning Transformers with Multiple Inputs in Python.mp4 56.66 MB
04 - Fine-Tuning (Intermediate)/014 Fine-Tuning Section Summary.mp4 15.78 MB
05 - Named Entity Recognition (NER) and POS Tagging/001 Token Classification Section Introduction.mp4 35.82 MB
05 - Named Entity Recognition (NER) and POS Tagging/002 Data & Tokenizer (Code Preparation).mp4 19.33 MB
05 - Named Entity Recognition (NER) and POS Tagging/003 Data & Tokenizer (Code).mp4 42.75 MB
05 - Named Entity Recognition (NER) and POS Tagging/004 Target Alignment (Code Preparation).mp4 43.02 MB
05 - Named Entity Recognition (NER) and POS Tagging/005 Create Tokenized Dataset (Code Preparation).mp4 18.33 MB
05 - Named Entity Recognition (NER) and POS Tagging/006 Target Alignment (Code).mp4 61.64 MB
05 - Named Entity Recognition (NER) and POS Tagging/007 Data Collator (Code Preparation).mp4 22.09 MB
05 - Named Entity Recognition (NER) and POS Tagging/008 Data Collator (Code).mp4 16.94 MB
05 - Named Entity Recognition (NER) and POS Tagging/009 Metrics (Code Preparation).mp4 33.44 MB
05 - Named Entity Recognition (NER) and POS Tagging/010 Metrics (Code).mp4 39.33 MB
05 - Named Entity Recognition (NER) and POS Tagging/011 Model and Trainer (Code Preparation).mp4 10.79 MB
05 - Named Entity Recognition (NER) and POS Tagging/012 Model and Trainer (Code).mp4 22.18 MB
05 - Named Entity Recognition (NER) and POS Tagging/013 POS Tagging & Custom Datasets (Exercise Prompt).mp4 21.33 MB
05 - Named Entity Recognition (NER) and POS Tagging/014 POS Tagging & Custom Datasets (Solution).mp4 115.13 MB
05 - Named Entity Recognition (NER) and POS Tagging/015 Token Classification Section Summary.mp4 8.04 MB
06 - Seq2Seq and Neural Machine Translation/001 Translation Section Introduction.mp4 18.2 MB
06 - Seq2Seq and Neural Machine Translation/002 Data & Tokenizer (Code Preparation).mp4 24.52 MB
06 - Seq2Seq and Neural Machine Translation/003 Data & Tokenizer (Code).mp4 34.12 MB
06 - Seq2Seq and Neural Machine Translation/004 Aside Seq2Seq Basics (Optional).mp4 37.06 MB
06 - Seq2Seq and Neural Machine Translation/005 Model Inputs (Code Preparation).mp4 32.41 MB
06 - Seq2Seq and Neural Machine Translation/006 Model Inputs (Code).mp4 51.41 MB
06 - Seq2Seq and Neural Machine Translation/007 Translation Metrics (BLEU Score & BERT Score) (Code Preparation).mp4 19.27 MB
06 - Seq2Seq and Neural Machine Translation/008 Translation Metrics (BLEU Score & BERT Score) (Code).mp4 43.32 MB
06 - Seq2Seq and Neural Machine Translation/009 Train & Evaluate (Code Preparation).mp4 21.27 MB
06 - Seq2Seq and Neural Machine Translation/010 Train & Evaluate (Code).mp4 35.74 MB
06 - Seq2Seq and Neural Machine Translation/011 Translation Section Summary.mp4 9.77 MB
07 - Transformers and Attention Theory (Advanced)/001 Theory Section Introduction.mp4 17.14 MB
07 - Transformers and Attention Theory (Advanced)/002 Basic Self-Attention.mp4 36.97 MB
07 - Transformers and Attention Theory (Advanced)/003 Self-Attention & Scaled Dot-Product Attention.mp4 64.27 MB
07 - Transformers and Attention Theory (Advanced)/004 Attention Efficiency.mp4 21.56 MB
07 - Transformers and Attention Theory (Advanced)/005 Attention Mask.mp4 15.1 MB
07 - Transformers and Attention Theory (Advanced)/006 Multi-Head Attention.mp4 33.71 MB
07 - Transformers and Attention Theory (Advanced)/007 Transformer Block.mp4 29.5 MB
07 - Transformers and Attention Theory (Advanced)/008 Positional Encodings.mp4 29.03 MB
07 - Transformers and Attention Theory (Advanced)/009 Encoder Architecture.mp4 25.21 MB
09 - Setting Up Your Environment FAQ/001 Anaconda Environment Setup.mp4 52.63 MB
09 - Setting Up Your Environment FAQ/002 How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.mp4 43.61 MB
10 - Extra Help With Python Coding for Beginners FAQ/001 How to Code by Yourself (part 1).mp4 71.84 MB
10 - Extra Help With Python Coding for Beginners FAQ/002 How to Code by Yourself (part 2).mp4 49.14 MB
10 - Extra Help With Python Coding for Beginners FAQ/003 Proof that using Jupyter Notebook is the same as not using it.mp4 69.42 MB
11 - Effective Learning Strategies for Machine Learning FAQ/001 How to Succeed in this Course (Long Version).mp4 17.87 MB
11 - Effective Learning Strategies for Machine Learning FAQ/002 Is this for Beginners or Experts Academic or Practical Fast or slow-paced.mp4 38.95 MB
11 - Effective Learning Strategies for Machine Learning FAQ/003 Machine Learning and AI Prerequisite Roadmap (pt 1).mp4 79.66 MB
11 - Effective Learning Strategies for Machine Learning FAQ/004 Machine Learning and AI Prerequisite Roadmap (pt 2).mp4 108.16 MB
12 - Appendix FAQ Finale/001 What is the Appendix.mp4 16.37 MB
12 - Appendix FAQ Finale/002 BONUS.mp4 37.83 MB
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