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001 Anaconda Environment Setup.mp4
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MP4
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52.6 MB
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001 Anaconda Environment Setup_en.srt
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SRT
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20.1 KB
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001 Beginner's Corner Section Introduction.mp4
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MP4
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49.7 MB
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001 Beginner's Corner Section Introduction_en.srt
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SRT
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15.1 KB
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001 Data Links.html
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HTML
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307.2 B
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001 Fine-Tuning Section Introduction.mp4
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MP4
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20.2 MB
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001 Fine-Tuning Section Introduction_en.srt
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SRT
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6.1 KB
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001 How to Code by Yourself (part 1).mp4
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MP4
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71.8 MB
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001 How to Code by Yourself (part 1)_en.srt
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SRT
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23.1 KB
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001 How to Succeed in this Course (Long Version).mp4
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MP4
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17.9 MB
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001 How to Succeed in this Course (Long Version)_en.srt
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SRT
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14.5 KB
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001 Introduction.mp4
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MP4
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34.6 MB
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001 Introduction_en.srt
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001 Theory Section Introduction.mp4
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17.1 MB
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001 Theory Section Introduction_en.srt
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SRT
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6.9 KB
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001 Token Classification Section Introduction.mp4
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MP4
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35.8 MB
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001 Token Classification Section Introduction_en.srt
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SRT
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9.6 KB
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001 Translation Section Introduction.mp4
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MP4
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18.2 MB
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001 Translation Section Introduction_en.srt
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SRT
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6.4 KB
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001 What is the Appendix.mp4
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MP4
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16.4 MB
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001 What is the Appendix_en.srt
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SRT
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3.9 KB
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001 Where to get the code and data.mp4
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MP4
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40.6 MB
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001 Where to get the code and data_en.srt
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10.5 KB
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002 BONUS.mp4
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MP4
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37.8 MB
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002 BONUS_en.srt
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SRT
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7.9 KB
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002 Basic Self-Attention.mp4
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MP4
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37 MB
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002 Basic Self-Attention_en.srt
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12.4 KB
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002 Data & Tokenizer (Code Preparation).mp4
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MP4
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24.5 MB
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002 Data & Tokenizer (Code Preparation)_en.srt
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SRT
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7.5 KB
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002 From RNNs to Attention and Transformers - Intuition.mp4
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MP4
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78.2 MB
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002 From RNNs to Attention and Transformers - Intuition_en.srt
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SRT
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24 KB
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002 How to Code by Yourself (part 2).mp4
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MP4
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49.1 MB
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002 How to Code by Yourself (part 2)_en.srt
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SRT
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13.2 KB
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002 How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.mp4
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MP4
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43.6 MB
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002 How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow_en.srt
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SRT
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15.8 KB
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002 How to use Github & Extra Coding Tips (Optional).mp4
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MP4
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50.8 MB
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002 How to use Github & Extra Coding Tips (Optional)_en.srt
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12.9 KB
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002 Is this for Beginners or Experts Academic or Practical Fast or slow-paced.mp4
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39 MB
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002 Is this for Beginners or Experts Academic or Practical Fast or slow-paced_en.srt
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32.7 KB
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002 Outline.mp4
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MP4
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50.7 MB
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002 Outline_en.srt
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13.5 KB
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002 Text Preprocessing and Tokenization Review.mp4
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MP4
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63.2 MB
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002 Text Preprocessing and Tokenization Review_en.srt
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18.2 KB
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003 Are You Beginner, Intermediate, or Advanced All are OK!.mp4
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MP4
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26.7 MB
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003 Are You Beginner, Intermediate, or Advanced All are OK!_en.srt
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SRT
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7.1 KB
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003 Data & Tokenizer (Code).mp4
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MP4
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34.1 MB
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003 Data & Tokenizer (Code)_en.srt
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SRT
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6.4 KB
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003 Machine Learning and AI Prerequisite Roadmap (pt 1).mp4
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MP4
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79.7 MB
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003 Machine Learning and AI Prerequisite Roadmap (pt 1)_en.srt
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SRT
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17.1 KB
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003 Models and Tokenizers.mp4
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MP4
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64.6 MB
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003 Models and Tokenizers_en.srt
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SRT
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20.6 KB
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003 Proof that using Jupyter Notebook is the same as not using it.mp4
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MP4
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69.4 MB
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003 Proof that using Jupyter Notebook is the same as not using it_en.srt
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SRT
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14.9 KB
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003 Self-Attention & Scaled Dot-Product Attention.mp4
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MP4
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64.3 MB
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003 Self-Attention & Scaled Dot-Product Attention_en.srt
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SRT
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23.9 KB
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003 Sentiment Analysis.mp4
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MP4
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53.6 MB
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003 Sentiment Analysis_en.srt
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SRT
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14.5 KB
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004 Aside Seq2Seq Basics (Optional).mp4
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MP4
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37.1 MB
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004 Aside Seq2Seq Basics (Optional)_en.srt
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SRT
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15.3 KB
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004 Attention Efficiency.mp4
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MP4
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21.6 MB
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004 Attention Efficiency_en.srt
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SRT
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5.9 KB
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004 Machine Learning and AI Prerequisite Roadmap (pt 2).mp4
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MP4
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108.2 MB
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004 Machine Learning and AI Prerequisite Roadmap (pt 2)_en.srt
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SRT
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23.9 KB
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004 Models and Tokenizers in Python.mp4
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MP4
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84.3 MB
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004 Models and Tokenizers in Python_en.srt
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SRT
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14.1 KB
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004 Sentiment Analysis in Python.mp4
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MP4
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97 MB
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004 Sentiment Analysis in Python_en.srt
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SRT
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21.1 KB
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004 Target Alignment (Code Preparation).mp4
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MP4
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43 MB
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004 Target Alignment (Code Preparation)_en.srt
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SRT
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13.8 KB
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005 Attention Mask.mp4
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MP4
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15.1 MB
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005 Attention Mask_en.srt
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SRT
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5 KB
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005 Create Tokenized Dataset (Code Preparation).mp4
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MP4
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18.3 MB
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005 Create Tokenized Dataset (Code Preparation)_en.srt
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SRT
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5 KB
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005 Model Inputs (Code Preparation).mp4
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MP4
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32.4 MB
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005 Model Inputs (Code Preparation)_en.srt
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SRT
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11.2 KB
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005 Text Generation.mp4
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MP4
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57.1 MB
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005 Text Generation_en.srt
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SRT
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15.4 KB
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005 Transfer Learning & Fine-Tuning (pt 1).mp4
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MP4
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59.8 MB
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005 Transfer Learning & Fine-Tuning (pt 1)_en.srt
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SRT
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12.7 KB
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006 Model Inputs (Code).mp4
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MP4
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51.4 MB
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006 Model Inputs (Code)_en.srt
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SRT
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7.8 KB
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006 Multi-Head Attention.mp4
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MP4
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33.7 MB
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006 Multi-Head Attention_en.srt
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SRT
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9.4 KB
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006 Target Alignment (Code).mp4
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MP4
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61.6 MB
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006 Target Alignment (Code)_en.srt
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SRT
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11.9 KB
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006 Text Generation in Python.mp4
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MP4
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86.3 MB
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006 Text Generation in Python_en.srt
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SRT
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14.9 KB
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006 Transfer Learning & Fine-Tuning (pt 2).mp4
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MP4
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49.3 MB
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006 Transfer Learning & Fine-Tuning (pt 2)_en.srt
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SRT
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14.6 KB
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007 Data Collator (Code Preparation).mp4
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MP4
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22.1 MB
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007 Data Collator (Code Preparation)_en.srt
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SRT
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4.9 KB
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007 Masked Language Modeling (Article Spinner).mp4
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MP4
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67.3 MB
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007 Masked Language Modeling (Article Spinner)_en.srt
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SRT
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16.1 KB
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007 Transfer Learning & Fine-Tuning (pt 3).mp4
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MP4
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56.7 MB
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007 Transfer Learning & Fine-Tuning (pt 3)_en.srt
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SRT
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13.7 KB
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007 Transformer Block.mp4
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MP4
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29.5 MB
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007 Transformer Block_en.srt
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SRT
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9.5 KB
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007 Translation Metrics (BLEU Score & BERT Score) (Code Preparation).mp4
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MP4
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19.3 MB
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007 Translation Metrics (BLEU Score & BERT Score) (Code Preparation)_en.srt
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SRT
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5 KB
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008 Data Collator (Code).mp4
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MP4
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16.9 MB
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008 Data Collator (Code)_en.srt
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SRT
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3.7 KB
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008 Fine-Tuning Sentiment Analysis and the GLUE Benchmark.mp4
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MP4
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58.4 MB
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008 Fine-Tuning Sentiment Analysis and the GLUE Benchmark_en.srt
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SRT
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16.9 KB
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008 Masked Language Modeling (Article Spinner) in Python.mp4
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MP4
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67.1 MB
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008 Masked Language Modeling (Article Spinner) in Python_en.srt
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SRT
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9.2 KB
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008 Positional Encodings.mp4
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MP4
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29 MB
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008 Positional Encodings_en.srt
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SRT
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9.5 KB
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008 Translation Metrics (BLEU Score & BERT Score) (Code).mp4
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MP4
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43.3 MB
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008 Translation Metrics (BLEU Score & BERT Score) (Code)_en.srt
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SRT
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6.3 KB
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009 Encoder Architecture.mp4
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MP4
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25.2 MB
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009 Encoder Architecture_en.srt
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SRT
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8.6 KB
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009 Fine-Tuning Sentiment Analysis in Python.mp4
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MP4
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130.8 MB
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009 Fine-Tuning Sentiment Analysis in Python_en.srt
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SRT
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19.3 KB
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009 Metrics (Code Preparation).mp4
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MP4
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33.4 MB
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009 Metrics (Code Preparation)_en.srt
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SRT
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9.1 KB
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009 Named Entity Recognition (NER).mp4
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MP4
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22 MB
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009 Named Entity Recognition (NER)_en.srt
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SRT
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6.2 KB
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009 Train & Evaluate (Code Preparation).mp4
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MP4
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21.3 MB
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009 Train & Evaluate (Code Preparation)_en.srt
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SRT
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5.6 KB
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010 Fine-Tuning Transformers with Custom Dataset.mp4
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MP4
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106.9 MB
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010 Fine-Tuning Transformers with Custom Dataset_en.srt
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SRT
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15.1 KB
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010 Metrics (Code).mp4
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MP4
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39.3 MB
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010 Metrics (Code)_en.srt
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SRT
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6.1 KB
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010 Named Entity Recognition (NER) in Python.mp4
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MP4
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70.2 MB
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010 Named Entity Recognition (NER) in Python_en.srt
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SRT
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9.6 KB
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010 Train & Evaluate (Code).mp4
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MP4
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35.7 MB
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010 Train & Evaluate (Code)_en.srt
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SRT
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4.6 KB
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011 Hugging Face AutoConfig.mp4
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MP4
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40.9 MB
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011 Hugging Face AutoConfig_en.srt
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SRT
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6 KB
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011 Model and Trainer (Code Preparation).mp4
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MP4
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10.8 MB
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011 Model and Trainer (Code Preparation)_en.srt
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SRT
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2.9 KB
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011 Text Summarization.mp4
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MP4
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24.1 MB
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011 Text Summarization_en.srt
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SRT
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7.1 KB
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011 Translation Section Summary.mp4
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MP4
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9.8 MB
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011 Translation Section Summary_en.srt
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SRT
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3.3 KB
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012 Fine-Tuning with Multiple Inputs (Textual Entailment).mp4
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MP4
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28.4 MB
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012 Fine-Tuning with Multiple Inputs (Textual Entailment)_en.srt
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SRT
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10.3 KB
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012 Model and Trainer (Code).mp4
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MP4
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22.2 MB
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012 Model and Trainer (Code)_en.srt
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SRT
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3.1 KB
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012 Text Summarization in Python.mp4
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MP4
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45.5 MB
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012 Text Summarization in Python_en.srt
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SRT
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7.6 KB
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013 Fine-Tuning Transformers with Multiple Inputs in Python.mp4
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MP4
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56.7 MB
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013 Fine-Tuning Transformers with Multiple Inputs in Python_en.srt
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SRT
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6.6 KB
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013 Neural Machine Translation.mp4
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MP4
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28.1 MB
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013 Neural Machine Translation_en.srt
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SRT
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8.1 KB
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013 POS Tagging & Custom Datasets (Exercise Prompt).mp4
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MP4
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21.3 MB
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013 POS Tagging & Custom Datasets (Exercise Prompt)_en.srt
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SRT
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6.8 KB
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014 Fine-Tuning Section Summary.mp4
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MP4
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15.8 MB
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014 Fine-Tuning Section Summary_en.srt
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SRT
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4.1 KB
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014 Neural Machine Translation in Python.mp4
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MP4
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64.1 MB
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014 Neural Machine Translation in Python_en.srt
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SRT
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9.7 KB
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014 POS Tagging & Custom Datasets (Solution).mp4
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MP4
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115.1 MB
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014 POS Tagging & Custom Datasets (Solution)_en.srt
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SRT
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17.9 KB
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015 Question Answering.mp4
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MP4
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40.1 MB
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015 Question Answering_en.srt
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SRT
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10 KB
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015 Token Classification Section Summary.mp4
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MP4
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8 MB
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015 Token Classification Section Summary_en.srt
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SRT
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2.6 KB
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016 Question Answering in Python.mp4
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MP4
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48.2 MB
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016 Question Answering in Python_en.srt
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SRT
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7 KB
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017 Zero-Shot Classification.mp4
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MP4
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30.1 MB
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017 Zero-Shot Classification_en.srt
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SRT
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7.6 KB
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018 Zero-Shot Classification in Python.mp4
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MP4
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87.6 MB
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018 Zero-Shot Classification in Python_en.srt
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SRT
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16.4 KB
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019 Beginner's Corner Section Summary.mp4
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MP4
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23.2 MB
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019 Beginner's Corner Section Summary_en.srt
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SRT
|
6.4 KB
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[CourseClub.Me].url
|
URL
|
102.4 B
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[FreeCourseSite.com].url
|
URL
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102.4 B
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[GigaCourse.Com].url
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URL
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0 B
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external-assets-links.txt
|
TXT
|
204.8 B
|
![Udemy - Data Science: Transformers for Natural Language Processing [FCS]](/static/img/no-torrent-image.png "Udemy - Data Science: Transformers for Natural Language Processing [FCS]")
