Natural Language Processing With Transformers in Python

Creation Time	Feb. 3, 2024, 2:59 p.m.
Last Access Time	May 13, 2026, 3:21 p.m.
File Size	3.3 GB
Keywords	Natural Language Python Processing in Transformers With
Total Requests	267
Total Files	113
Magnet Link	Please wait ...
	Download (Magnet Link) Play (Watch Online)

07 Long Text Classification With BERT/001 Classification of Long Text Using Windows.mp4 116.1 MB
08 Named Entity Recognition (NER)/008 NER With Sentiment.mp4 99.9 MB
08 Named Entity Recognition (NER)/004 Pulling Data With The Reddit API.mp4 88.9 MB
07 Long Text Classification With BERT/002 Window Method in PyTorch.mp4 84.9 MB
14 Fine-Tuning Transformer Models/005 The Logic of MLM.mp4 79.4 MB
14 Fine-Tuning Transformer Models/010 Fine-tuning with NSP - Data Preparation.mp4 78.0 MB
06 [Project] Sentiment Model With TensorFlow and Transformers/006 Build and Save.mp4 77.0 MB
14 Fine-Tuning Transformer Models/006 Fine-tuning with MLM - Data Preparation.mp4 76.7 MB
11 Reader-Retriever QA With Haystack/013 Retriever-Reader Stack.mp4 75.3 MB
14 Fine-Tuning Transformer Models/007 Fine-tuning with MLM - Training.mp4 69.7 MB
11 Reader-Retriever QA With Haystack/010 FAISS in Haystack.mp4 68.1 MB
06 [Project] Sentiment Model With TensorFlow and Transformers/003 Preprocessing.mp4 62.5 MB
08 Named Entity Recognition (NER)/009 NER With roBERTa.mp4 59.0 MB
06 [Project] Sentiment Model With TensorFlow and Transformers/007 Loading and Prediction.mp4 56.8 MB
12 [Project] Open-Domain QA/003 Building the Haystack Pipeline.mp4 55.8 MB
02 NLP and Transformers/009 Positional Encoding.mp4 55.5 MB
05 Language Classification/004 Tokenization And Special Tokens For BERT.mp4 55.4 MB
08 Named Entity Recognition (NER)/001 Introduction to spaCy.mp4 51.6 MB
04 Attention/002 Alignment With Dot-Product.mp4 49.1 MB
14 Fine-Tuning Transformer Models/003 BERT Pretraining - Masked-Language Modeling (MLM).mp4 46.7 MB
09 Question and Answering/006 Our First Q&A Model.mp4 45.7 MB
14 Fine-Tuning Transformer Models/013 Fine-tuning with MLM and NSP - Data Preparation.mp4 43.6 MB
11 Reader-Retriever QA With Haystack/009 What is FAISS_.mp4 42.9 MB
12 [Project] Open-Domain QA/002 Creating the Database.mp4 42.4 MB
14 Fine-Tuning Transformer Models/004 BERT Pretraining - Next Sentence Prediction (NSP).mp4 42.1 MB
02 NLP and Transformers/010 Transformer Heads.mp4 39.8 MB
11 Reader-Retriever QA With Haystack/005 Elasticsearch in Haystack.mp4 39.0 MB
09 Question and Answering/004 Processing SQuAD Training Data.mp4 38.4 MB
05 Language Classification/001 Introduction to Sentiment Analysis.mp4 37.5 MB
01 Introduction/003 Environment Setup.mp4 37.3 MB
08 Named Entity Recognition (NER)/003 Authenticating With The Reddit API.mp4 35.6 MB
06 [Project] Sentiment Model With TensorFlow and Transformers/002 Getting the Data (Kaggle API).mp4 35.0 MB
01 Introduction/002 Course Overview.mp4 34.4 MB
10 Metrics For Language/003 Applying ROUGE to Q&A.mp4 33.9 MB
13 Similarity/004 Using Cosine Similarity.mp4 33.9 MB
04 Attention/006 Multi-head and Scaled Dot-Product Attention.mp4 33.8 MB
08 Named Entity Recognition (NER)/002 Extracting Entities.mp4 33.5 MB
02 NLP and Transformers/002 Pros and Cons of Neural AI.mp4 32.8 MB
13 Similarity/003 Sentence Vectors With Mean Pooling.mp4 32.1 MB
05 Language Classification/002 Prebuilt Flair Models.mp4 30.7 MB
03 Preprocessing for NLP/009 Unicode Normalization - NFKD and NFKC.mp4 30.4 MB
06 [Project] Sentiment Model With TensorFlow and Transformers/005 Dataset Shuffle, Batch, Split, and Save.mp4 30.2 MB
09 Question and Answering/005 (Optional) Processing SQuAD Training Data with Match-Case.mp4 30.1 MB
13 Similarity/002 Extracting The Last Hidden State Tensor.mp4 29.7 MB
11 Reader-Retriever QA With Haystack/011 What is DPR_.mp4 29.7 MB
14 Fine-Tuning Transformer Models/002 Introduction to BERT For Pretraining Code.mp4 29.3 MB
04 Attention/003 Dot-Product Attention.mp4 29.0 MB
09 Question and Answering/002 Retrievers, Readers, and Generators.mp4 28.7 MB
14 Fine-Tuning Transformer Models/001 Visual Guide to BERT Pretraining.mp4 28.6 MB
04 Attention/004 Self Attention.mp4 28.4 MB
13 Similarity/001 Introduction to Similarity.mp4 28.2 MB
08 Named Entity Recognition (NER)/005 Extracting ORGs From Reddit Data.mp4 28.1 MB
05 Language Classification/003 Introduction to Sentiment Models With Transformers.mp4 26.9 MB
11 Reader-Retriever QA With Haystack/007 Cleaning the Index.mp4 26.4 MB
14 Fine-Tuning Transformer Models/012 The Logic of MLM and NSP.mp4 26.3 MB
05 Language Classification/005 Making Predictions.mp4 26.0 MB
09 Question and Answering/003 Intro to SQuAD 2.0.mp4 25.4 MB
02 NLP and Transformers/006 Encoder-Decoder Attention.mp4 25.2 MB
03 Preprocessing for NLP/002 Tokens Introduction.mp4 24.0 MB
01 Introduction/005 CUDA Setup.mp4 23.7 MB
11 Reader-Retriever QA With Haystack/002 What is Elasticsearch_.mp4 23.5 MB
03 Preprocessing for NLP/001 Stopwords.mp4 23.0 MB
13 Similarity/005 Similarity With Sentence-Transformers.mp4 23.0 MB
06 [Project] Sentiment Model With TensorFlow and Transformers/004 Building a Dataset.mp4 22.6 MB
02 NLP and Transformers/001 The Three Eras of AI.mp4 22.2 MB
02 NLP and Transformers/003 Word Vectors.mp4 21.7 MB
10 Metrics For Language/002 ROUGE in Python.mp4 21.7 MB
10 Metrics For Language/004 Recall, Precision and F1.mp4 21.0 MB
11 Reader-Retriever QA With Haystack/003 Elasticsearch Setup (Windows).mp4 20.9 MB
14 Fine-Tuning Transformer Models/009 The Logic of NSP.mp4 20.9 MB
02 NLP and Transformers/007 Self-Attention.mp4 20.8 MB
11 Reader-Retriever QA With Haystack/006 Sparse Retrievers.mp4 20.4 MB
03 Preprocessing for NLP/007 Unicode Normalization - Composition and Decomposition.mp4 20.3 MB
11 Reader-Retriever QA With Haystack/004 Elasticsearch Setup (Linux).mp4 20.2 MB
08 Named Entity Recognition (NER)/007 Entity Blacklist.mp4 20.1 MB
03 Preprocessing for NLP/008 Unicode Normalization - NFD and NFC.mp4 20.0 MB
14 Fine-Tuning Transformer Models/008 Fine-tuning with MLM - Training with Trainer.mp4 19.9 MB
03 Preprocessing for NLP/003 Model-Specific Special Tokens.mp4 18.9 MB
10 Metrics For Language/006 Q&A Performance With ROUGE.mp4 18.7 MB
08 Named Entity Recognition (NER)/006 Getting Entity Frequency.mp4 18.4 MB
10 Metrics For Language/001 Q&A Performance With Exact Match (EM).mp4 18.2 MB
03 Preprocessing for NLP/004 Stemming.mp4 17.2 MB
02 NLP and Transformers/004 Recurrent Neural Networks.mp4 17.1 MB
03 Preprocessing for NLP/006 Unicode Normalization - Canonical and Compatibility Equivalence.mp4 17.0 MB
09 Question and Answering/001 Open Domain and Reading Comprehension.mp4 16.1 MB
04 Attention/001 Attention Introduction.mp4 15.8 MB
10 Metrics For Language/005 Longest Common Subsequence (LCS).mp4 15.0 MB
11 Reader-Retriever QA With Haystack/012 The DPR Architecture.mp4 14.3 MB
14 Fine-Tuning Transformer Models/011 Fine-tuning with NSP - DataLoader.mp4 14.3 MB
11 Reader-Retriever QA With Haystack/001 Intro to Retriever-Reader and Haystack.mp4 13.9 MB
02 NLP and Transformers/008 Multi-head Attention.mp4 13.3 MB
11 Reader-Retriever QA With Haystack/008 Implementing a BM25 Retriever.mp4 12.5 MB
06 [Project] Sentiment Model With TensorFlow and Transformers/001 Project Overview.mp4 12.5 MB
04 Attention/005 Bidirectional Attention.mp4 10.8 MB
03 Preprocessing for NLP/005 Lemmatization.mp4 10.6 MB
01 Introduction/001 Introduction.mp4 9.2 MB
02 NLP and Transformers/005 Long Short-Term Memory.mp4 6.3 MB
12 [Project] Open-Domain QA/001 ODQA Stack Structure.mp4 6.2 MB
01 Introduction/004 Alternative Setup.html 2.8 KB
11 Reader-Retriever QA With Haystack/external-assets-links.txt 1.8 KB
08 Named Entity Recognition (NER)/external-assets-links.txt 1.3 KB
14 Fine-Tuning Transformer Models/external-assets-links.txt 1.3 KB
03 Preprocessing for NLP/external-assets-links.txt 1003 bytes
09 Question and Answering/external-assets-links.txt 886 bytes
06 [Project] Sentiment Model With TensorFlow and Transformers/external-assets-links.txt 805 bytes
04 Attention/external-assets-links.txt 760 bytes
05 Language Classification/external-assets-links.txt 680 bytes
10 Metrics For Language/external-assets-links.txt 680 bytes
Downloaded from 1337x.html 543 bytes
07 Long Text Classification With BERT/external-assets-links.txt 409 bytes
02 NLP and Transformers/external-assets-links.txt 379 bytes
01 Introduction/external-assets-links.txt 372 bytes
12 [Project] Open-Domain QA/external-assets-links.txt 366 bytes

Natural Language Processing With Transformers in Python

File List

Download Torrent

Related Resources

Copyright Infringement