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Please note that this page does not hosts or makes available any of the listed filenames. You
cannot download any of those files from here.
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| [CourseClub.Me].url |
122B |
| [CourseClub.Me].url |
122B |
| [CourseClub.Me].url |
122B |
| [FreeCourseSite.com].url |
127B |
| [FreeCourseSite.com].url |
127B |
| [FreeCourseSite.com].url |
127B |
| [GigaCourse.Com].url |
49B |
| [GigaCourse.Com].url |
49B |
| [GigaCourse.Com].url |
49B |
| 001 Anaconda Environment Setup_en.srt |
20.13KB |
| 001 Anaconda Environment Setup.mp4 |
52.63MB |
| 001 Beginner's Corner Section Introduction_en.srt |
15.06KB |
| 001 Beginner's Corner Section Introduction.mp4 |
49.75MB |
| 001 Data Links.html |
256B |
| 001 Fine-Tuning Section Introduction_en.srt |
6.14KB |
| 001 Fine-Tuning Section Introduction.mp4 |
20.16MB |
| 001 How to Code by Yourself (part 1)_en.srt |
23.13KB |
| 001 How to Code by Yourself (part 1).mp4 |
71.84MB |
| 001 How to Succeed in this Course (Long Version)_en.srt |
14.54KB |
| 001 How to Succeed in this Course (Long Version).mp4 |
17.87MB |
| 001 Introduction_en.srt |
5.63KB |
| 001 Introduction.mp4 |
34.60MB |
| 001 Theory Section Introduction_en.srt |
6.88KB |
| 001 Theory Section Introduction.mp4 |
17.14MB |
| 001 Token Classification Section Introduction_en.srt |
9.60KB |
| 001 Token Classification Section Introduction.mp4 |
35.82MB |
| 001 Translation Section Introduction_en.srt |
6.36KB |
| 001 Translation Section Introduction.mp4 |
18.20MB |
| 001 What is the Appendix_en.srt |
3.88KB |
| 001 What is the Appendix.mp4 |
16.37MB |
| 001 Where to get the code and data_en.srt |
10.50KB |
| 001 Where to get the code and data.mp4 |
40.57MB |
| 002 Basic Self-Attention_en.srt |
12.45KB |
| 002 Basic Self-Attention.mp4 |
36.97MB |
| 002 BONUS_en.srt |
7.87KB |
| 002 BONUS.mp4 |
37.83MB |
| 002 Data & Tokenizer (Code Preparation)_en.srt |
6.82KB |
| 002 Data & Tokenizer (Code Preparation)_en.srt |
7.51KB |
| 002 Data & Tokenizer (Code Preparation).mp4 |
19.33MB |
| 002 Data & Tokenizer (Code Preparation).mp4 |
24.52MB |
| 002 From RNNs to Attention and Transformers - Intuition_en.srt |
24.02KB |
| 002 From RNNs to Attention and Transformers - Intuition.mp4 |
78.20MB |
| 002 How to Code by Yourself (part 2)_en.srt |
13.25KB |
| 002 How to Code by Yourself (part 2).mp4 |
49.14MB |
| 002 How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow_en.srt |
15.81KB |
| 002 How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.mp4 |
43.61MB |
| 002 How to use Github & Extra Coding Tips (Optional)_en.srt |
12.94KB |
| 002 How to use Github & Extra Coding Tips (Optional).mp4 |
50.83MB |
| 002 Is this for Beginners or Experts Academic or Practical Fast or slow-paced_en.srt |
32.69KB |
| 002 Is this for Beginners or Experts Academic or Practical Fast or slow-paced.mp4 |
38.95MB |
| 002 Outline_en.srt |
13.51KB |
| 002 Outline.mp4 |
50.65MB |
| 002 Text Preprocessing and Tokenization Review_en.srt |
18.22KB |
| 002 Text Preprocessing and Tokenization Review.mp4 |
63.16MB |
| 003 Are You Beginner, Intermediate, or Advanced All are OK!_en.srt |
7.13KB |
| 003 Are You Beginner, Intermediate, or Advanced All are OK!.mp4 |
26.73MB |
| 003 Data & Tokenizer (Code)_en.srt |
9.20KB |
| 003 Data & Tokenizer (Code)_en.srt |
6.44KB |
| 003 Data & Tokenizer (Code).mp4 |
42.75MB |
| 003 Data & Tokenizer (Code).mp4 |
34.12MB |
| 003 Machine Learning and AI Prerequisite Roadmap (pt 1)_en.srt |
17.15KB |
| 003 Machine Learning and AI Prerequisite Roadmap (pt 1).mp4 |
79.66MB |
| 003 Models and Tokenizers_en.srt |
20.60KB |
| 003 Models and Tokenizers.mp4 |
64.57MB |
| 003 Proof that using Jupyter Notebook is the same as not using it_en.srt |
14.92KB |
| 003 Proof that using Jupyter Notebook is the same as not using it.mp4 |
69.42MB |
| 003 Self-Attention & Scaled Dot-Product Attention_en.srt |
23.95KB |
| 003 Self-Attention & Scaled Dot-Product Attention.mp4 |
64.27MB |
| 003 Sentiment Analysis_en.srt |
14.55KB |
| 003 Sentiment Analysis.mp4 |
53.60MB |
| 004 Aside Seq2Seq Basics (Optional)_en.srt |
15.25KB |
| 004 Aside Seq2Seq Basics (Optional).mp4 |
37.06MB |
| 004 Attention Efficiency_en.srt |
5.86KB |
| 004 Attention Efficiency.mp4 |
21.56MB |
| 004 Machine Learning and AI Prerequisite Roadmap (pt 2)_en.srt |
23.93KB |
| 004 Machine Learning and AI Prerequisite Roadmap (pt 2).mp4 |
108.16MB |
| 004 Models and Tokenizers in Python_en.srt |
14.12KB |
| 004 Models and Tokenizers in Python.mp4 |
84.26MB |
| 004 Sentiment Analysis in Python_en.srt |
21.12KB |
| 004 Sentiment Analysis in Python.mp4 |
97.04MB |
| 004 Target Alignment (Code Preparation)_en.srt |
13.76KB |
| 004 Target Alignment (Code Preparation).mp4 |
43.02MB |
| 005 Attention Mask_en.srt |
5.04KB |
| 005 Attention Mask.mp4 |
15.10MB |
| 005 Create Tokenized Dataset (Code Preparation)_en.srt |
5.01KB |
| 005 Create Tokenized Dataset (Code Preparation).mp4 |
18.33MB |
| 005 Model Inputs (Code Preparation)_en.srt |
11.21KB |
| 005 Model Inputs (Code Preparation).mp4 |
32.41MB |
| 005 Text Generation_en.srt |
15.45KB |
| 005 Text Generation.mp4 |
57.10MB |
| 005 Transfer Learning & Fine-Tuning (pt 1)_en.srt |
12.69KB |
| 005 Transfer Learning & Fine-Tuning (pt 1).mp4 |
59.83MB |
| 006 Model Inputs (Code)_en.srt |
7.78KB |
| 006 Model Inputs (Code).mp4 |
51.41MB |
| 006 Multi-Head Attention_en.srt |
9.35KB |
| 006 Multi-Head Attention.mp4 |
33.71MB |
| 006 Target Alignment (Code)_en.srt |
11.86KB |
| 006 Target Alignment (Code).mp4 |
61.64MB |
| 006 Text Generation in Python_en.srt |
14.92KB |
| 006 Text Generation in Python.mp4 |
86.34MB |
| 006 Transfer Learning & Fine-Tuning (pt 2)_en.srt |
14.58KB |
| 006 Transfer Learning & Fine-Tuning (pt 2).mp4 |
49.31MB |
| 007 Data Collator (Code Preparation)_en.srt |
4.92KB |
| 007 Data Collator (Code Preparation).mp4 |
22.09MB |
| 007 Masked Language Modeling (Article Spinner)_en.srt |
16.12KB |
| 007 Masked Language Modeling (Article Spinner).mp4 |
67.29MB |
| 007 Transfer Learning & Fine-Tuning (pt 3)_en.srt |
13.68KB |
| 007 Transfer Learning & Fine-Tuning (pt 3).mp4 |
56.66MB |
| 007 Transformer Block_en.srt |
9.53KB |
| 007 Transformer Block.mp4 |
29.50MB |
| 007 Translation Metrics (BLEU Score & BERT Score) (Code Preparation)_en.srt |
4.96KB |
| 007 Translation Metrics (BLEU Score & BERT Score) (Code Preparation).mp4 |
19.27MB |
| 008 Data Collator (Code)_en.srt |
3.70KB |
| 008 Data Collator (Code).mp4 |
16.94MB |
| 008 Fine-Tuning Sentiment Analysis and the GLUE Benchmark_en.srt |
16.85KB |
| 008 Fine-Tuning Sentiment Analysis and the GLUE Benchmark.mp4 |
58.43MB |
| 008 Masked Language Modeling (Article Spinner) in Python_en.srt |
9.24KB |
| 008 Masked Language Modeling (Article Spinner) in Python.mp4 |
67.09MB |
| 008 Positional Encodings_en.srt |
9.47KB |
| 008 Positional Encodings.mp4 |
29.03MB |
| 008 Translation Metrics (BLEU Score & BERT Score) (Code)_en.srt |
6.33KB |
| 008 Translation Metrics (BLEU Score & BERT Score) (Code).mp4 |
43.32MB |
| 009 Encoder Architecture_en.srt |
8.64KB |
| 009 Encoder Architecture.mp4 |
25.21MB |
| 009 Fine-Tuning Sentiment Analysis in Python_en.srt |
19.29KB |
| 009 Fine-Tuning Sentiment Analysis in Python.mp4 |
130.77MB |
| 009 Metrics (Code Preparation)_en.srt |
9.14KB |
| 009 Metrics (Code Preparation).mp4 |
33.44MB |
| 009 Named Entity Recognition (NER)_en.srt |
6.24KB |
| 009 Named Entity Recognition (NER).mp4 |
22.02MB |
| 009 Train & Evaluate (Code Preparation)_en.srt |
5.63KB |
| 009 Train & Evaluate (Code Preparation).mp4 |
21.27MB |
| 010 Fine-Tuning Transformers with Custom Dataset_en.srt |
15.10KB |
| 010 Fine-Tuning Transformers with Custom Dataset.mp4 |
106.85MB |
| 010 Metrics (Code)_en.srt |
6.09KB |
| 010 Metrics (Code).mp4 |
39.33MB |
| 010 Named Entity Recognition (NER) in Python_en.srt |
9.63KB |
| 010 Named Entity Recognition (NER) in Python.mp4 |
70.23MB |
| 010 Train & Evaluate (Code)_en.srt |
4.64KB |
| 010 Train & Evaluate (Code).mp4 |
35.74MB |
| 011 Hugging Face AutoConfig_en.srt |
6.03KB |
| 011 Hugging Face AutoConfig.mp4 |
40.86MB |
| 011 Model and Trainer (Code Preparation)_en.srt |
2.92KB |
| 011 Model and Trainer (Code Preparation).mp4 |
10.79MB |
| 011 Text Summarization_en.srt |
7.08KB |
| 011 Text Summarization.mp4 |
24.15MB |
| 011 Translation Section Summary_en.srt |
3.30KB |
| 011 Translation Section Summary.mp4 |
9.77MB |
| 012 Fine-Tuning with Multiple Inputs (Textual Entailment)_en.srt |
10.32KB |
| 012 Fine-Tuning with Multiple Inputs (Textual Entailment).mp4 |
28.42MB |
| 012 Model and Trainer (Code)_en.srt |
3.12KB |
| 012 Model and Trainer (Code).mp4 |
22.18MB |
| 012 Text Summarization in Python_en.srt |
7.56KB |
| 012 Text Summarization in Python.mp4 |
45.47MB |
| 013 Fine-Tuning Transformers with Multiple Inputs in Python_en.srt |
6.62KB |
| 013 Fine-Tuning Transformers with Multiple Inputs in Python.mp4 |
56.66MB |
| 013 Neural Machine Translation_en.srt |
8.15KB |
| 013 Neural Machine Translation.mp4 |
28.10MB |
| 013 POS Tagging & Custom Datasets (Exercise Prompt)_en.srt |
6.85KB |
| 013 POS Tagging & Custom Datasets (Exercise Prompt).mp4 |
21.33MB |
| 014 Fine-Tuning Section Summary_en.srt |
4.11KB |
| 014 Fine-Tuning Section Summary.mp4 |
15.78MB |
| 014 Neural Machine Translation in Python_en.srt |
9.73KB |
| 014 Neural Machine Translation in Python.mp4 |
64.10MB |
| 014 POS Tagging & Custom Datasets (Solution)_en.srt |
17.90KB |
| 014 POS Tagging & Custom Datasets (Solution).mp4 |
115.13MB |
| 015 Question Answering_en.srt |
10.03KB |
| 015 Question Answering.mp4 |
40.10MB |
| 015 Token Classification Section Summary_en.srt |
2.60KB |
| 015 Token Classification Section Summary.mp4 |
8.04MB |
| 016 Question Answering in Python_en.srt |
6.97KB |
| 016 Question Answering in Python.mp4 |
48.15MB |
| 017 Zero-Shot Classification_en.srt |
7.60KB |
| 017 Zero-Shot Classification.mp4 |
30.12MB |
| 018 Zero-Shot Classification in Python_en.srt |
16.41KB |
| 018 Zero-Shot Classification in Python.mp4 |
87.61MB |
| 019 Beginner's Corner Section Summary_en.srt |
6.39KB |
| 019 Beginner's Corner Section Summary.mp4 |
23.18MB |
| external-assets-links.txt |
215B |