[FreeCourseSite.com] Udemy - Natural Language Processing NLP With Transformers in Python

磁链地址复制复制磁链成功

magnet:?xt=urn:btih:DFA2139B84543149C5029C4E9CDDC81F860F9731

如发现链接(DMCA)违规请在线举报

磁链详情

文件数目：281个文件
文件大小：3.62 GB
收录时间：2022-12-13
访问次数：2
相关内容：FreeCourseSite Udemy Natural Language Processing With Transformers Python

文件meta

7. Long Text Classification With BERT/1. Classification of Long Text Using Windows.mp4
137.87 MB
14. Pre-Training Transformer Models/6. Pre-training with MLM - Data Preparation.mp4
114.32 MB
6. [Project] Sentiment Model With TensorFlow and Transformers/6. Build and Save.mp4
110.52 MB
14. Pre-Training Transformer Models/5. The Logic of MLM.mp4
106.48 MB
14. Pre-Training Transformer Models/10. Pre-training with NSP - Data Preparation.mp4
104.73 MB
11. Reader-Retriever QA With Haystack/13. Retriever-Reader Stack.mp4
103.26 MB
8. Named Entity Recognition (NER)/4. Pulling Data With The Reddit API.mp4
103.2 MB
7. Long Text Classification With BERT/2. Window Method in PyTorch.mp4
99.49 MB
8. Named Entity Recognition (NER)/9. NER With roBERTa.mp4
94.57 MB
6. [Project] Sentiment Model With TensorFlow and Transformers/3. Preprocessing.mp4
91.72 MB
5. Language Classification/4. Tokenization And Special Tokens For BERT.mp4
85.86 MB
8. Named Entity Recognition (NER)/8. NER With Sentiment.mp4
84.31 MB
6. [Project] Sentiment Model With TensorFlow and Transformers/7. Loading and Prediction.mp4
81.93 MB
11. Reader-Retriever QA With Haystack/10. FAISS in Haystack.mp4
80.32 MB
12. [Project] Open-Domain QA/3. Building the Haystack Pipeline.mp4
80.23 MB
14. Pre-Training Transformer Models/7. Pre-training with MLM - Training.mp4
78.9 MB
14. Pre-Training Transformer Models/3. BERT Pretraining - Masked-Language Modeling (MLM).mp4
67.32 MB
12. [Project] Open-Domain QA/2. Creating the Database.mp4
64.78 MB
14. Pre-Training Transformer Models/13. Pre-training with MLM and NSP - Data Preparation.mp4
61.98 MB
8. Named Entity Recognition (NER)/1. Introduction to spaCy.mp4
61.86 MB
2. NLP and Transformers/9. Positional Encoding.mp4
55.52 MB
4. Attention/2. Alignment With Dot-Product.mp4
53.77 MB
9. Question and Answering/6. Our First Q&A Model.mp4
53.4 MB
6. [Project] Sentiment Model With TensorFlow and Transformers/2. Getting the Data (Kaggle API).mp4
52.43 MB
9. Question and Answering/4. Processing SQuAD Training Data.mp4
52.3 MB
14. Pre-Training Transformer Models/4. BERT Pretraining - Next Sentence Prediction (NSP).mp4
47.67 MB
11. Reader-Retriever QA With Haystack/5. Elasticsearch in Haystack.mp4
45.64 MB
8. Named Entity Recognition (NER)/3. Authenticating With The Reddit API.mp4
43.01 MB
1. Introduction/4. CUDA Setup.mp4
39.65 MB
14. Pre-Training Transformer Models/2. Introduction to BERT For Pretraining Code.mp4
38.09 MB
14. Pre-Training Transformer Models/12. The Logic of MLM and NSP.mp4
37.48 MB
6. [Project] Sentiment Model With TensorFlow and Transformers/5. Dataset Shuffle, Batch, Split, and Save.mp4
37.23 MB
8. Named Entity Recognition (NER)/2. Extracting Entities.mp4
37.08 MB
13. Similarity/3. Sentence Vectors With Mean Pooling.mp4
36.7 MB
5. Language Classification/3. Introduction to Sentiment Models With Transformers.mp4
36.64 MB
13. Similarity/2. Extracting The Last Hidden State Tensor.mp4
35.65 MB
9. Question and Answering/5. (Optional) Processing SQuAD Training Data with Match-Case.mp4
34.6 MB
1. Introduction/2. Course Overview.mp4
34.38 MB
8. Named Entity Recognition (NER)/5. Extracting ORGs From Reddit Data.mp4
32.19 MB
1. Introduction/3. Environment Setup.mp4
31.33 MB
10. Metrics For Language/3. Applying ROUGE to Q&A.mp4
31.2 MB
11. Reader-Retriever QA With Haystack/7. Cleaning the Index.mp4
30.08 MB
3. Preprocessing for NLP/1. Stopwords.mp4
29.01 MB
11. Reader-Retriever QA With Haystack/9. What is FAISS.mp4
28.63 MB
13. Similarity/4. Using Cosine Similarity.mp4
28.6 MB
14. Pre-Training Transformer Models/1. Visual Guide to BERT Pretraining.mp4
28.6 MB
2. NLP and Transformers/10. Transformer Heads.mp4
28.46 MB
13. Similarity/1. Introduction to Similarity.mp4
28.24 MB
6. [Project] Sentiment Model With TensorFlow and Transformers/4. Building a Dataset.mp4
27.77 MB
14. Pre-Training Transformer Models/9. The Logic of NSP.mp4
26.9 MB