Create Tool:
Create Time:1970-01-01 08:00:00
File Size:3.28 GB
File Count:113
File Hash:968ed510efb377308f255e249ae24aae49e521bf
| 07 Long Text Classification With BERT/001 Classification of Long Text Using Windows.mp4 | 116.14 MB |
| 01 Introduction/001 Introduction.mp4 | 9.20 MB |
| 01 Introduction/002 Course Overview.mp4 | 34.38 MB |
| 01 Introduction/003 Environment Setup.mp4 | 37.25 MB |
| 01 Introduction/004 Alternative Setup.html | 2.78 KB |
| 01 Introduction/005 CUDA Setup.mp4 | 23.72 MB |
| 01 Introduction/external-assets-links.txt | 372 B |
| 02 NLP and Transformers/001 The Three Eras of AI.mp4 | 22.20 MB |
| 02 NLP and Transformers/002 Pros and Cons of Neural AI.mp4 | 32.79 MB |
| 02 NLP and Transformers/003 Word Vectors.mp4 | 21.72 MB |
| 02 NLP and Transformers/004 Recurrent Neural Networks.mp4 | 17.09 MB |
| 02 NLP and Transformers/005 Long Short-Term Memory.mp4 | 6.33 MB |
| 02 NLP and Transformers/006 Encoder-Decoder Attention.mp4 | 25.16 MB |
| 02 NLP and Transformers/007 Self-Attention.mp4 | 20.80 MB |
| 02 NLP and Transformers/008 Multi-head Attention.mp4 | 13.32 MB |
| 02 NLP and Transformers/009 Positional Encoding.mp4 | 55.52 MB |
| 02 NLP and Transformers/010 Transformer Heads.mp4 | 39.81 MB |
| 02 NLP and Transformers/external-assets-links.txt | 379 B |
| 03 Preprocessing for NLP/001 Stopwords.mp4 | 23.05 MB |
| 03 Preprocessing for NLP/002 Tokens Introduction.mp4 | 24.03 MB |
| 03 Preprocessing for NLP/003 Model-Specific Special Tokens.mp4 | 18.88 MB |
| 03 Preprocessing for NLP/004 Stemming.mp4 | 17.24 MB |
| 03 Preprocessing for NLP/005 Lemmatization.mp4 | 10.58 MB |
| 03 Preprocessing for NLP/006 Unicode Normalization - Canonical and Compatibility Equivalence.mp4 | 16.97 MB |
| 03 Preprocessing for NLP/007 Unicode Normalization - Composition and Decomposition.mp4 | 20.25 MB |
| 03 Preprocessing for NLP/008 Unicode Normalization - NFD and NFC.mp4 | 20.02 MB |
| 03 Preprocessing for NLP/009 Unicode Normalization - NFKD and NFKC.mp4 | 30.42 MB |
| 03 Preprocessing for NLP/external-assets-links.txt | 1003 B |
| 04 Attention/001 Attention Introduction.mp4 | 15.78 MB |
| 04 Attention/002 Alignment With Dot-Product.mp4 | 49.12 MB |
| 04 Attention/003 Dot-Product Attention.mp4 | 28.98 MB |
| 04 Attention/004 Self Attention.mp4 | 28.40 MB |
| 04 Attention/005 Bidirectional Attention.mp4 | 10.78 MB |
| 04 Attention/006 Multi-head and Scaled Dot-Product Attention.mp4 | 33.83 MB |
| 04 Attention/external-assets-links.txt | 760 B |
| 05 Language Classification/001 Introduction to Sentiment Analysis.mp4 | 37.52 MB |
| 05 Language Classification/002 Prebuilt Flair Models.mp4 | 30.70 MB |
| 05 Language Classification/003 Introduction to Sentiment Models With Transformers.mp4 | 26.92 MB |
| 05 Language Classification/004 Tokenization And Special Tokens For BERT.mp4 | 55.43 MB |
| 05 Language Classification/005 Making Predictions.mp4 | 25.97 MB |
| 05 Language Classification/external-assets-links.txt | 680 B |
| 06 [Project] Sentiment Model With TensorFlow and Transformers/001 Project Overview.mp4 | 12.51 MB |
| 06 [Project] Sentiment Model With TensorFlow and Transformers/002 Getting the Data (Kaggle API).mp4 | 35.01 MB |
| 06 [Project] Sentiment Model With TensorFlow and Transformers/003 Preprocessing.mp4 | 62.48 MB |
| 06 [Project] Sentiment Model With TensorFlow and Transformers/004 Building a Dataset.mp4 | 22.56 MB |
| 06 [Project] Sentiment Model With TensorFlow and Transformers/005 Dataset Shuffle, Batch, Split, and Save.mp4 | 30.16 MB |
| 06 [Project] Sentiment Model With TensorFlow and Transformers/006 Build and Save.mp4 | 77.01 MB |
| 06 [Project] Sentiment Model With TensorFlow and Transformers/007 Loading and Prediction.mp4 | 56.76 MB |
| 06 [Project] Sentiment Model With TensorFlow and Transformers/external-assets-links.txt | 805 B |
| Downloaded from 1337x.html | 543 B |
| 07 Long Text Classification With BERT/002 Window Method in PyTorch.mp4 | 84.94 MB |
| 07 Long Text Classification With BERT/external-assets-links.txt | 409 B |
| 08 Named Entity Recognition (NER)/001 Introduction to spaCy.mp4 | 51.64 MB |
| 08 Named Entity Recognition (NER)/002 Extracting Entities.mp4 | 33.53 MB |
| 08 Named Entity Recognition (NER)/003 Authenticating With The Reddit API.mp4 | 35.62 MB |
| 08 Named Entity Recognition (NER)/004 Pulling Data With The Reddit API.mp4 | 88.95 MB |
| 08 Named Entity Recognition (NER)/005 Extracting ORGs From Reddit Data.mp4 | 28.11 MB |
| 08 Named Entity Recognition (NER)/006 Getting Entity Frequency.mp4 | 18.38 MB |
| 08 Named Entity Recognition (NER)/007 Entity Blacklist.mp4 | 20.14 MB |
| 08 Named Entity Recognition (NER)/008 NER With Sentiment.mp4 | 99.87 MB |
| 08 Named Entity Recognition (NER)/009 NER With roBERTa.mp4 | 59.01 MB |
| 08 Named Entity Recognition (NER)/external-assets-links.txt | 1.32 KB |
| 09 Question and Answering/001 Open Domain and Reading Comprehension.mp4 | 16.06 MB |
| 09 Question and Answering/002 Retrievers, Readers, and Generators.mp4 | 28.68 MB |
| 09 Question and Answering/003 Intro to SQuAD 2.0.mp4 | 25.39 MB |
| 09 Question and Answering/004 Processing SQuAD Training Data.mp4 | 38.41 MB |
| 09 Question and Answering/005 (Optional) Processing SQuAD Training Data with Match-Case.mp4 | 30.10 MB |
| 09 Question and Answering/006 Our First Q&A Model.mp4 | 45.71 MB |
| 09 Question and Answering/external-assets-links.txt | 886 B |
| 10 Metrics For Language/001 Q&A Performance With Exact Match (EM).mp4 | 18.17 MB |
| 10 Metrics For Language/002 ROUGE in Python.mp4 | 21.66 MB |
| 10 Metrics For Language/003 Applying ROUGE to Q&A.mp4 | 33.94 MB |
| 10 Metrics For Language/004 Recall, Precision and F1.mp4 | 21.02 MB |
| 10 Metrics For Language/005 Longest Common Subsequence (LCS).mp4 | 14.95 MB |
| 10 Metrics For Language/006 Q&A Performance With ROUGE.mp4 | 18.74 MB |
| 10 Metrics For Language/external-assets-links.txt | 680 B |
| 11 Reader-Retriever QA With Haystack/001 Intro to Retriever-Reader and Haystack.mp4 | 13.94 MB |
| 11 Reader-Retriever QA With Haystack/002 What is Elasticsearch_.mp4 | 23.53 MB |
| 11 Reader-Retriever QA With Haystack/003 Elasticsearch Setup (Windows).mp4 | 20.90 MB |
| 11 Reader-Retriever QA With Haystack/004 Elasticsearch Setup (Linux).mp4 | 20.20 MB |
| 11 Reader-Retriever QA With Haystack/005 Elasticsearch in Haystack.mp4 | 39.02 MB |
| 11 Reader-Retriever QA With Haystack/006 Sparse Retrievers.mp4 | 20.37 MB |
| 11 Reader-Retriever QA With Haystack/007 Cleaning the Index.mp4 | 26.45 MB |
| 11 Reader-Retriever QA With Haystack/008 Implementing a BM25 Retriever.mp4 | 12.54 MB |
| 11 Reader-Retriever QA With Haystack/009 What is FAISS_.mp4 | 42.89 MB |
| 11 Reader-Retriever QA With Haystack/010 FAISS in Haystack.mp4 | 68.08 MB |
| 11 Reader-Retriever QA With Haystack/011 What is DPR_.mp4 | 29.65 MB |
| 11 Reader-Retriever QA With Haystack/012 The DPR Architecture.mp4 | 14.27 MB |
| 11 Reader-Retriever QA With Haystack/013 Retriever-Reader Stack.mp4 | 75.25 MB |
| 11 Reader-Retriever QA With Haystack/external-assets-links.txt | 1.76 KB |
| 12 [Project] Open-Domain QA/001 ODQA Stack Structure.mp4 | 6.22 MB |
| 12 [Project] Open-Domain QA/002 Creating the Database.mp4 | 42.42 MB |
| 12 [Project] Open-Domain QA/003 Building the Haystack Pipeline.mp4 | 55.80 MB |
| 12 [Project] Open-Domain QA/external-assets-links.txt | 366 B |
| 13 Similarity/001 Introduction to Similarity.mp4 | 28.24 MB |
| 13 Similarity/002 Extracting The Last Hidden State Tensor.mp4 | 29.75 MB |
| 13 Similarity/003 Sentence Vectors With Mean Pooling.mp4 | 32.09 MB |
| 13 Similarity/004 Using Cosine Similarity.mp4 | 33.85 MB |
| 13 Similarity/005 Similarity With Sentence-Transformers.mp4 | 23.01 MB |
| 14 Fine-Tuning Transformer Models/001 Visual Guide to BERT Pretraining.mp4 | 28.60 MB |
| 14 Fine-Tuning Transformer Models/002 Introduction to BERT For Pretraining Code.mp4 | 29.26 MB |
| 14 Fine-Tuning Transformer Models/003 BERT Pretraining - Masked-Language Modeling (MLM).mp4 | 46.71 MB |
| 14 Fine-Tuning Transformer Models/004 BERT Pretraining - Next Sentence Prediction (NSP).mp4 | 42.08 MB |
| 14 Fine-Tuning Transformer Models/005 The Logic of MLM.mp4 | 79.41 MB |
| 14 Fine-Tuning Transformer Models/006 Fine-tuning with MLM - Data Preparation.mp4 | 76.72 MB |
| 14 Fine-Tuning Transformer Models/007 Fine-tuning with MLM - Training.mp4 | 69.68 MB |
| 14 Fine-Tuning Transformer Models/008 Fine-tuning with MLM - Training with Trainer.mp4 | 19.88 MB |
| 14 Fine-Tuning Transformer Models/009 The Logic of NSP.mp4 | 20.87 MB |
| 14 Fine-Tuning Transformer Models/010 Fine-tuning with NSP - Data Preparation.mp4 | 77.97 MB |
| 14 Fine-Tuning Transformer Models/011 Fine-tuning with NSP - DataLoader.mp4 | 14.26 MB |
| 14 Fine-Tuning Transformer Models/012 The Logic of MLM and NSP.mp4 | 26.25 MB |
| 14 Fine-Tuning Transformer Models/013 Fine-tuning with MLM and NSP - Data Preparation.mp4 | 43.61 MB |
| 14 Fine-Tuning Transformer Models/external-assets-links.txt | 1.27 KB |
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