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1. Anaconda Environment Setup.mp4
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MP4
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52.6 MB
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1. Anaconda Environment Setup.srt
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SRT
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20.1 KB
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1. Beginner's Corner Section Introduction.mp4
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MP4
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49.7 MB
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1. Beginner's Corner Section Introduction.srt
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SRT
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15.1 KB
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1. Data Links.html
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HTML
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307.2 B
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1. Fine-Tuning Section Introduction.mp4
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MP4
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20.2 MB
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1. Fine-Tuning Section Introduction.srt
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SRT
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6.1 KB
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1. Get Your Hands Dirty, Practical Coding Experience, Data Links.mp4
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MP4
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43.6 MB
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1. Get Your Hands Dirty, Practical Coding Experience, Data Links.srt
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SRT
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12 KB
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1. How to Code by Yourself (part 1).mp4
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MP4
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71.8 MB
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1. How to Code by Yourself (part 1).srt
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SRT
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23.1 KB
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1. 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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1. How to Succeed in this Course (Long Version).srt
|
SRT
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14.5 KB
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1. Implementation Section Introduction.mp4
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MP4
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25.6 MB
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1. Implementation Section Introduction.srt
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SRT
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8.5 KB
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1. Introduction.mp4
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MP4
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34.6 MB
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1. Introduction.srt
|
SRT
|
5.6 KB
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1. Question-Answering Section Introduction.mp4
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MP4
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21.5 MB
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1. Question-Answering Section Introduction.srt
|
SRT
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6.1 KB
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1. Theory Section Introduction.mp4
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MP4
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17.1 MB
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1. Theory Section Introduction.srt
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SRT
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6.9 KB
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1. Token Classification Section Introduction.mp4
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MP4
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35.8 MB
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1. Token Classification Section Introduction.srt
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SRT
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9.6 KB
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1. Translation Section Introduction.mp4
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MP4
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18.2 MB
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1. Translation Section Introduction.srt
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SRT
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6.4 KB
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1. What is the Appendix.mp4
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MP4
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16.4 MB
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1. What is the Appendix.srt
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SRT
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3.9 KB
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1.1 Data Links.html
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HTML
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204.8 B
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1.2 Github Link.html
|
HTML
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102.4 B
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10. Decoder Architecture.mp4
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MP4
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49.6 MB
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10. Decoder Architecture.srt
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SRT
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14.6 KB
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10. Fine-Tuning Transformers with Custom Dataset.mp4
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MP4
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106.9 MB
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10. Fine-Tuning Transformers with Custom Dataset.srt
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SRT
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15.1 KB
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10. How to Train a Causal Language Model From Scratch.mp4
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MP4
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120.4 MB
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10. How to Train a Causal Language Model From Scratch.srt
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SRT
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20.1 KB
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10. Metrics (Code).mp4
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MP4
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39.3 MB
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10. Metrics (Code).srt
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SRT
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6.1 KB
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10. Named Entity Recognition (NER) in Python.mp4
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MP4
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70.2 MB
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10. Named Entity Recognition (NER) in Python.srt
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SRT
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9.6 KB
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10. Question-Answering Metrics.mp4
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MP4
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16.5 MB
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10. Question-Answering Metrics.srt
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SRT
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4.7 KB
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10. Train & Evaluate (Code Preparation).mp4
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MP4
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21.3 MB
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10. Train & Evaluate (Code Preparation).srt
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SRT
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5.6 KB
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11. Encoder-Decoder Architecture.mp4
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MP4
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39.7 MB
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11. Encoder-Decoder Architecture.srt
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SRT
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11.4 KB
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11. Hugging Face AutoConfig.mp4
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MP4
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40.9 MB
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11. Hugging Face AutoConfig.srt
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SRT
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6 KB
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11. Implement a Seq2Seq Transformer From Scratch for Language Translation (pt 1).mp4
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MP4
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94 MB
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11. Implement a Seq2Seq Transformer From Scratch for Language Translation (pt 1).srt
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SRT
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13.4 KB
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11. Model and Trainer (Code Preparation).mp4
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MP4
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10.8 MB
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11. Model and Trainer (Code Preparation).srt
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SRT
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2.9 KB
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11. Question-Answering Metrics in Python.mp4
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MP4
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22.9 MB
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11. Question-Answering Metrics in Python.srt
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SRT
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3 KB
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11. Text Summarization.mp4
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MP4
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24.1 MB
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11. Text Summarization.srt
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SRT
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7.1 KB
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11. Train & Evaluate (Code).mp4
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MP4
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35.7 MB
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11. Train & Evaluate (Code).srt
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SRT
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4.6 KB
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12. BERT.mp4
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MP4
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23.3 MB
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12. BERT.srt
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SRT
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6.1 KB
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12. Fine-Tuning with Multiple Inputs (Textual Entailment).mp4
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MP4
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28.4 MB
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12. Fine-Tuning with Multiple Inputs (Textual Entailment).srt
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SRT
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10.3 KB
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12. From Logits to Answers.mp4
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MP4
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95.6 MB
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12. From Logits to Answers.srt
|
SRT
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27.7 KB
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12. Implement a Seq2Seq Transformer From Scratch for Language Translation (pt 2).mp4
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MP4
|
95.2 MB
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12. Implement a Seq2Seq Transformer From Scratch for Language Translation (pt 2).srt
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SRT
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15 KB
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12. Model and Trainer (Code).mp4
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MP4
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22.2 MB
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12. Model and Trainer (Code).srt
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SRT
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3.1 KB
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12. Text Summarization in Python.mp4
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MP4
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45.5 MB
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12. Text Summarization in Python.srt
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SRT
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7.6 KB
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12. Translation Section Summary.mp4
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MP4
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9.8 MB
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12. Translation Section Summary.srt
|
SRT
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3.3 KB
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13. 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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13. Fine-Tuning Transformers with Multiple Inputs in Python.srt
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SRT
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6.6 KB
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13. From Logits to Answers in Python.mp4
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MP4
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120.6 MB
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13. From Logits to Answers in Python.srt
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SRT
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16.9 KB
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13. GPT.mp4
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MP4
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31.2 MB
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13. GPT.srt
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SRT
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8.6 KB
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13. Implement a Seq2Seq Transformer From Scratch for Language Translation (pt 3).mp4
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MP4
|
108.6 MB
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13. Implement a Seq2Seq Transformer From Scratch for Language Translation (pt 3).srt
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SRT
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17.5 KB
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13. Neural Machine Translation.mp4
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MP4
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28.1 MB
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13. Neural Machine Translation.srt
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SRT
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8.1 KB
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13. POS Tagging & Custom Datasets (Exercise Prompt).mp4
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MP4
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21.3 MB
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13. POS Tagging & Custom Datasets (Exercise Prompt).srt
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SRT
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6.8 KB
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14. Computing Metrics.mp4
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MP4
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24.9 MB
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14. Computing Metrics.srt
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SRT
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6.6 KB
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14. Fine-Tuning Section Summary.mp4
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MP4
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15.8 MB
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14. Fine-Tuning Section Summary.srt
|
SRT
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4.1 KB
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14. GPT-2.mp4
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MP4
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29.7 MB
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14. GPT-2.srt
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SRT
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8.3 KB
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14. Implementation Section Summary.mp4
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MP4
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10.6 MB
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14. Implementation Section Summary.srt
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SRT
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2 KB
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14. Neural Machine Translation in Python.mp4
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MP4
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64.1 MB
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14. Neural Machine Translation in Python.srt
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SRT
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9.7 KB
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14. POS Tagging & Custom Datasets (Solution).mp4
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MP4
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115.1 MB
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14. POS Tagging & Custom Datasets (Solution).srt
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SRT
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17.9 KB
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15. Computing Metrics in Python.mp4
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MP4
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44.3 MB
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15. Computing Metrics in Python.srt
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SRT
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6.1 KB
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15. GPT-3.mp4
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MP4
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24 MB
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15. GPT-3.srt
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SRT
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6.6 KB
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15. Question Answering.mp4
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MP4
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40.1 MB
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15. Question Answering.srt
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SRT
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10 KB
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15. Token Classification Section Summary.mp4
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MP4
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8 MB
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15. Token Classification Section Summary.srt
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SRT
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2.6 KB
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16. Question Answering in Python.mp4
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MP4
|
48.2 MB
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16. Question Answering in Python.srt
|
SRT
|
7 KB
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16. Theory Section Summary.mp4
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MP4
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21 MB
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16. Theory Section Summary.srt
|
SRT
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6.3 KB
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16. Train and Evaluate.mp4
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MP4
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14.1 MB
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16. Train and Evaluate.srt
|
SRT
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3.3 KB
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17. Train and Evaluate in Python.mp4
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MP4
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37.8 MB
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17. Train and Evaluate in Python.srt
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SRT
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4.7 KB
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17. Zero-Shot Classification.mp4
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MP4
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30.1 MB
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17. Zero-Shot Classification.srt
|
SRT
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7.6 KB
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18. Question-Answering Section Summary.mp4
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MP4
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14.2 MB
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18. Question-Answering Section Summary.srt
|
SRT
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5 KB
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18. Zero-Shot Classification in Python.mp4
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MP4
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87.6 MB
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18. Zero-Shot Classification in Python.srt
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SRT
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16.4 KB
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19. Beginner's Corner Section Summary.mp4
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MP4
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23.2 MB
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19. Beginner's Corner Section Summary.srt
|
SRT
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6.4 KB
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2. BONUS.mp4
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MP4
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39.9 MB
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2. BONUS.srt
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SRT
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7.9 KB
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2. Basic Self-Attention.mp4
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MP4
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37 MB
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2. Basic Self-Attention.srt
|
SRT
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12.4 KB
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2. Data & Tokenizer (Code Preparation).mp4
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MP4
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24.5 MB
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2. Data & Tokenizer (Code Preparation).srt
|
SRT
|
7.5 KB
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2. Encoder Implementation Plan & Outline.mp4
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MP4
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23 MB
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2. Encoder Implementation Plan & Outline.srt
|
SRT
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8.4 KB
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2. Exploring the Dataset (SQuAD).mp4
|
MP4
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20.2 MB
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2. Exploring the Dataset (SQuAD).srt
|
SRT
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5.7 KB
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2. From RNNs to Attention and Transformers - Intuition.mp4
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MP4
|
78.2 MB
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2. From RNNs to Attention and Transformers - Intuition.srt
|
SRT
|
24 KB
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2. How to Code by Yourself (part 2).mp4
|
MP4
|
49.1 MB
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2. How to Code by Yourself (part 2).srt
|
SRT
|
13.2 KB
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2. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.mp4
|
MP4
|
43.6 MB
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2. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.srt
|
SRT
|
15.8 KB
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2. How to use Github & Extra Coding Tips (Optional).mp4
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MP4
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63.9 MB
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2. How to use Github & Extra Coding Tips (Optional).srt
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SRT
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15.7 KB
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2. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.mp4
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MP4
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39 MB
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2. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.srt
|
SRT
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32.7 KB
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2. Outline.mp4
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MP4
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50.7 MB
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2. Outline.srt
|
SRT
|
13.5 KB
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2. Text Preprocessing and Tokenization Review.mp4
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MP4
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63.2 MB
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2. Text Preprocessing and Tokenization Review.srt
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SRT
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18.2 KB
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20. Suggestion Box.mp4
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MP4
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27.2 MB
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20. Suggestion Box.srt
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SRT
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4.8 KB
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3. Data & Tokenizer (Code).mp4
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MP4
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42.7 MB
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3. Data & Tokenizer (Code).srt
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SRT
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9.2 KB
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3. Exploring the Dataset (SQuAD) in Python.mp4
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MP4
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39.9 MB
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3. Exploring the Dataset (SQuAD) in Python.srt
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SRT
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4.7 KB
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3. How to Implement Multihead Attention From Scratch.mp4
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MP4
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93.4 MB
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3. How to Implement Multihead Attention From Scratch.srt
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SRT
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15.5 KB
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3. Machine Learning and AI Prerequisite Roadmap (pt 1).mp4
|
MP4
|
79.7 MB
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3. Machine Learning and AI Prerequisite Roadmap (pt 1).srt
|
SRT
|
17.1 KB
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3. Models and Tokenizers.mp4
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MP4
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64.6 MB
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3. Models and Tokenizers.srt
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SRT
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20.6 KB
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3. 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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3. Proof that using Jupyter Notebook is the same as not using it.srt
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SRT
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14.9 KB
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3. Self-Attention & Scaled Dot-Product Attention.mp4
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MP4
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64.3 MB
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3. Self-Attention & Scaled Dot-Product Attention.srt
|
SRT
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23.9 KB
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3. Sentiment Analysis.mp4
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MP4
|
53.6 MB
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3. Sentiment Analysis.srt
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SRT
|
14.5 KB
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3. Things Move Fast.mp4
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MP4
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6.1 MB
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3. Things Move Fast.srt
|
SRT
|
2.4 KB
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3. Where to get the code, notebooks, and data.mp4
|
MP4
|
17.8 MB
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3. Where to get the code, notebooks, and data.srt
|
SRT
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4.3 KB
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3.1 Code Link.html
|
HTML
|
102.4 B
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3.2 Data Links.html
|
HTML
|
204.8 B
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3.3 Github Link.html
|
HTML
|
102.4 B
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4. Are You Beginner, Intermediate, or Advanced All are OK!.mp4
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MP4
|
26.7 MB
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4. Are You Beginner, Intermediate, or Advanced All are OK!.srt
|
SRT
|
7.1 KB
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4. Attention Efficiency.mp4
|
MP4
|
21.6 MB
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4. Attention Efficiency.srt
|
SRT
|
5.9 KB
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4. Data & Tokenizer (Code).mp4
|
MP4
|
34.1 MB
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4. Data & Tokenizer (Code).srt
|
SRT
|
6.4 KB
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4. How to Implement the Transformer Block From Scratch.mp4
|
MP4
|
14.9 MB
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4. How to Implement the Transformer Block From Scratch.srt
|
SRT
|
2.4 KB
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4. Machine Learning and AI Prerequisite Roadmap (pt 2).mp4
|
MP4
|
108.2 MB
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4. Machine Learning and AI Prerequisite Roadmap (pt 2).srt
|
SRT
|
23.9 KB
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4. Models and Tokenizers in Python.mp4
|
MP4
|
84.3 MB
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4. Models and Tokenizers in Python.srt
|
SRT
|
14.1 KB
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4. Sentiment Analysis in Python.mp4
|
MP4
|
97.1 MB
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4. Sentiment Analysis in Python.srt
|
SRT
|
21.1 KB
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4. Target Alignment (Code Preparation).mp4
|
MP4
|
43 MB
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4. Target Alignment (Code Preparation).srt
|
SRT
|
13.8 KB
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4. Using the Tokenizer.mp4
|
MP4
|
34.5 MB
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4. Using the Tokenizer.srt
|
SRT
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10.8 KB
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5. Aside Seq2Seq Basics (Optional).mp4
|
MP4
|
37.1 MB
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5. Aside Seq2Seq Basics (Optional).srt
|
SRT
|
15.2 KB
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5. Attention Mask.mp4
|
MP4
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15.1 MB
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5. Attention Mask.srt
|
SRT
|
5 KB
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5. Create Tokenized Dataset (Code Preparation).mp4
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MP4
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18.3 MB
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5. Create Tokenized Dataset (Code Preparation).srt
|
SRT
|
5 KB
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5. How to Implement Positional Encoding From Scratch.mp4
|
MP4
|
35.9 MB
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5. How to Implement Positional Encoding From Scratch.srt
|
SRT
|
6.3 KB
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5. How to Succeed in This Course.mp4
|
MP4
|
41.2 MB
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5. How to Succeed in This Course.srt
|
SRT
|
13 KB
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5. Text Generation.mp4
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MP4
|
57.1 MB
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5. Text Generation.srt
|
SRT
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15.5 KB
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5. Transfer Learning & Fine-Tuning (pt 1).mp4
|
MP4
|
59.8 MB
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5. Transfer Learning & Fine-Tuning (pt 1).srt
|
SRT
|
12.7 KB
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5. Using the Tokenizer in Python.mp4
|
MP4
|
72.1 MB
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5. Using the Tokenizer in Python.srt
|
SRT
|
13.1 KB
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6. Aligning the Targets.mp4
|
MP4
|
69.1 MB
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6. Aligning the Targets.srt
|
SRT
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19.3 KB
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6. How to Implement Transformer Encoder From Scratch.mp4
|
MP4
|
27 MB
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6. How to Implement Transformer Encoder From Scratch.srt
|
SRT
|
4.8 KB
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6. Model Inputs (Code Preparation).mp4
|
MP4
|
32.4 MB
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6. Model Inputs (Code Preparation).srt
|
SRT
|
11.2 KB
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6. Multi-Head Attention.mp4
|
MP4
|
33.7 MB
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6. Multi-Head Attention.srt
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SRT
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9.4 KB
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6. Target Alignment (Code).mp4
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MP4
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61.7 MB
|
|
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6. Target Alignment (Code).srt
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SRT
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11.9 KB
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6. Text Generation in Python.mp4
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MP4
|
86.3 MB
|
|
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6. Text Generation in Python.srt
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SRT
|
14.9 KB
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6. Transfer Learning & Fine-Tuning (pt 2).mp4
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MP4
|
49.3 MB
|
|
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6. Transfer Learning & Fine-Tuning (pt 2).srt
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SRT
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14.6 KB
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7. Aligning the Targets in Python.mp4
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MP4
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103.3 MB
|
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7. Aligning the Targets in Python.srt
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SRT
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18.8 KB
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7. Data Collator (Code Preparation).mp4
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MP4
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22.1 MB
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7. Data Collator (Code Preparation).srt
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SRT
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4.9 KB
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7. Masked Language Modeling (Article Spinner).mp4
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MP4
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67.3 MB
|
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7. Masked Language Modeling (Article Spinner).srt
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SRT
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16.1 KB
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7. Model Inputs (Code).mp4
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MP4
|
51.4 MB
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7. Model Inputs (Code).srt
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SRT
|
7.8 KB
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7. Train and Evaluate Encoder From Scratch.mp4
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MP4
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89.3 MB
|
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7. Train and Evaluate Encoder From Scratch.srt
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SRT
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12.3 KB
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7. Transfer Learning & Fine-Tuning (pt 3).mp4
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MP4
|
56.7 MB
|
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7. Transfer Learning & Fine-Tuning (pt 3).srt
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SRT
|
13.7 KB
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7. Transformer Block.mp4
|
MP4
|
29.5 MB
|
|
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7. Transformer Block.srt
|
SRT
|
9.5 KB
|
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8. Applying the Tokenizer.mp4
|
MP4
|
45 MB
|
|
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8. Applying the Tokenizer.srt
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SRT
|
12.3 KB
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8. Data Collator (Code).mp4
|
MP4
|
16.9 MB
|
|
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8. Data Collator (Code).srt
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SRT
|
3.7 KB
|
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8. Fine-Tuning Sentiment Analysis and the GLUE Benchmark.mp4
|
MP4
|
58.4 MB
|
|
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8. Fine-Tuning Sentiment Analysis and the GLUE Benchmark.srt
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SRT
|
16.9 KB
|
|
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8. How to Implement Causal Self-Attention From Scratch.mp4
|
MP4
|
39.2 MB
|
|
|
8. How to Implement Causal Self-Attention From Scratch.srt
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SRT
|
5.7 KB
|
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8. Masked Language Modeling (Article Spinner) in Python.mp4
|
MP4
|
67.1 MB
|
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8. Masked Language Modeling (Article Spinner) in Python.srt
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SRT
|
9.2 KB
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8. Positional Encodings.mp4
|
MP4
|
29 MB
|
|
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8. Positional Encodings.srt
|
SRT
|
9.5 KB
|
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8. Translation Metrics (BLEU Score & BERT Score) (Code Preparation).mp4
|
MP4
|
19.3 MB
|
|
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8. Translation Metrics (BLEU Score & BERT Score) (Code Preparation).srt
|
SRT
|
5 KB
|
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9. Applying the Tokenizer in Python.mp4
|
MP4
|
76.5 MB
|
|
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9. Applying the Tokenizer in Python.srt
|
SRT
|
12 KB
|
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9. Encoder Architecture.mp4
|
MP4
|
25.2 MB
|
|
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9. Encoder Architecture.srt
|
SRT
|
8.6 KB
|
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9. Fine-Tuning Sentiment Analysis in Python.mp4
|
MP4
|
130.8 MB
|
|
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9. Fine-Tuning Sentiment Analysis in Python.srt
|
SRT
|
19.3 KB
|
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9. How to Implement a Transformer Decoder (GPT) From Scratch.mp4
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MP4
|
27.3 MB
|
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9. How to Implement a Transformer Decoder (GPT) From Scratch.srt
|
SRT
|
4.9 KB
|
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9. Metrics (Code Preparation).mp4
|
MP4
|
33.4 MB
|
|
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9. Metrics (Code Preparation).srt
|
SRT
|
9.1 KB
|
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9. Named Entity Recognition (NER).mp4
|
MP4
|
22 MB
|
|
|
9. Named Entity Recognition (NER).srt
|
SRT
|
6.2 KB
|
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9. Translation Metrics (BLEU Score & BERT Score) (Code).mp4
|
MP4
|
43.3 MB
|
|
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9. Translation Metrics (BLEU Score & BERT Score) (Code).srt
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SRT
|
6.3 KB
|
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[CourseClub.Me].url
|
URL
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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
|
URL
|
0 B
|
