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

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Files
  1. 1. Introduction/1. Introduction.mp4 9.20MB
  2. 1. Introduction/1. Introduction.srt 3.10KB
  3. 1. Introduction/2. Course Overview.mp4 34.38MB
  4. 1. Introduction/2. Course Overview.srt 8.08KB
  5. 1. Introduction/2.1 GitHub Repo.html 103B
  6. 1. Introduction/3. Environment Setup.mp4 37.25MB
  7. 1. Introduction/3. Environment Setup.srt 7.36KB
  8. 1. Introduction/3.1 Installation Instructions.html 129B
  9. 1. Introduction/4. CUDA Setup.mp4 23.73MB
  10. 1. Introduction/4. CUDA Setup.srt 3.54KB
  11. 1. Introduction/4.1 Installation Instructions.html 129B
  12. 10. Metrics For Language/1. Q&A Performance With Exact Match (EM).mp4 18.17MB
  13. 10. Metrics For Language/1. Q&A Performance With Exact Match (EM).srt 5.53KB
  14. 10. Metrics For Language/1.1 Notebook.html 160B
  15. 10. Metrics For Language/2. ROUGE in Python.mp4 21.66MB
  16. 10. Metrics For Language/2. ROUGE in Python.srt 4.47KB
  17. 10. Metrics For Language/2.1 Notebook.html 154B
  18. 10. Metrics For Language/3. Applying ROUGE to Q&A.mp4 33.95MB
  19. 10. Metrics For Language/3. Applying ROUGE to Q&A.srt 8.58KB
  20. 10. Metrics For Language/3.1 Notebook.html 162B
  21. 10. Metrics For Language/4. Recall, Precision and F1.mp4 21.02MB
  22. 10. Metrics For Language/4. Recall, Precision and F1.srt 5.44KB
  23. 10. Metrics For Language/4.1 Notebook.html 154B
  24. 10. Metrics For Language/5. Longest Common Subsequence (LCS).mp4 14.95MB
  25. 10. Metrics For Language/5. Longest Common Subsequence (LCS).srt 3.02KB
  26. 10. Metrics For Language/5.1 Notebook.html 154B
  27. 10. Metrics For Language/6. Q&A Performance With ROUGE.mp4 18.75MB
  28. 10. Metrics For Language/6. Q&A Performance With ROUGE.srt 4.14KB
  29. 10. Metrics For Language/6.1 Notebook.html 154B
  30. 11. Reader-Retriever QA With Haystack/1. Intro to Retriever-Reader and Haystack.mp4 13.94MB
  31. 11. Reader-Retriever QA With Haystack/1. Intro to Retriever-Reader and Haystack.srt 3.80KB
  32. 11. Reader-Retriever QA With Haystack/1.1 Notebook.html 157B
  33. 11. Reader-Retriever QA With Haystack/10. FAISS in Haystack.mp4 68.09MB
  34. 11. Reader-Retriever QA With Haystack/10. FAISS in Haystack.srt 13.35KB
  35. 11. Reader-Retriever QA With Haystack/10.1 Notebook.html 166B
  36. 11. Reader-Retriever QA With Haystack/11. What is DPR.mp4 29.65MB
  37. 11. Reader-Retriever QA With Haystack/11. What is DPR.srt 8.49KB
  38. 11. Reader-Retriever QA With Haystack/11.1 Article.html 189B
  39. 11. Reader-Retriever QA With Haystack/11.2 Notebook.html 160B
  40. 11. Reader-Retriever QA With Haystack/12. The DPR Architecture.mp4 14.28MB
  41. 11. Reader-Retriever QA With Haystack/12. The DPR Architecture.srt 2.25KB
  42. 11. Reader-Retriever QA With Haystack/12.1 Article.html 189B
  43. 11. Reader-Retriever QA With Haystack/12.2 Notebook.html 160B
  44. 11. Reader-Retriever QA With Haystack/13. Retriever-Reader Stack.mp4 75.25MB
  45. 11. Reader-Retriever QA With Haystack/13. Retriever-Reader Stack.srt 11.12KB
  46. 11. Reader-Retriever QA With Haystack/13.1 Notebook.html 155B
  47. 11. Reader-Retriever QA With Haystack/2. What is Elasticsearch.mp4 23.54MB
  48. 11. Reader-Retriever QA With Haystack/2. What is Elasticsearch.srt 7.19KB
  49. 11. Reader-Retriever QA With Haystack/2.1 Elasticsearch (Cloud) Introduction Article.html 195B
  50. 11. Reader-Retriever QA With Haystack/3. Elasticsearch Setup (Windows).mp4 20.90MB
  51. 11. Reader-Retriever QA With Haystack/3. Elasticsearch Setup (Windows).srt 2.08KB
  52. 11. Reader-Retriever QA With Haystack/4. Elasticsearch Setup (Linux).mp4 20.21MB
  53. 11. Reader-Retriever QA With Haystack/4. Elasticsearch Setup (Linux).srt 2.01KB
  54. 11. Reader-Retriever QA With Haystack/5. Elasticsearch in Haystack.mp4 39.02MB
  55. 11. Reader-Retriever QA With Haystack/5. Elasticsearch in Haystack.srt 8.69KB
  56. 11. Reader-Retriever QA With Haystack/5.1 Notebook.html 168B
  57. 11. Reader-Retriever QA With Haystack/6. Sparse Retrievers.mp4 20.37MB
  58. 11. Reader-Retriever QA With Haystack/6. Sparse Retrievers.srt 4.18KB
  59. 11. Reader-Retriever QA With Haystack/6.1 Notebook.html 168B
  60. 11. Reader-Retriever QA With Haystack/7. Cleaning the Index.mp4 26.45MB
  61. 11. Reader-Retriever QA With Haystack/7. Cleaning the Index.srt 5.23KB
  62. 11. Reader-Retriever QA With Haystack/7.1 Notebook.html 168B
  63. 11. Reader-Retriever QA With Haystack/8. Implementing a BM25 Retriever.mp4 12.55MB
  64. 11. Reader-Retriever QA With Haystack/8. Implementing a BM25 Retriever.srt 2.49KB
  65. 11. Reader-Retriever QA With Haystack/8.1 Notebook.html 168B
  66. 11. Reader-Retriever QA With Haystack/9. What is FAISS.mp4 42.90MB
  67. 11. Reader-Retriever QA With Haystack/9. What is FAISS.srt 9.85KB
  68. 11. Reader-Retriever QA With Haystack/9.1 Article.html 170B
  69. 11. Reader-Retriever QA With Haystack/9.2 Notebook.html 162B
  70. 12. [Project] Open-Domain QA/1. ODQA Stack Structure.mp4 6.23MB
  71. 12. [Project] Open-Domain QA/1. ODQA Stack Structure.srt 1.97KB
  72. 12. [Project] Open-Domain QA/2. Creating the Database.mp4 42.43MB
  73. 12. [Project] Open-Domain QA/2. Creating the Database.srt 7.73KB
  74. 12. [Project] Open-Domain QA/2.1 Data.html 145B
  75. 12. [Project] Open-Domain QA/2.2 Notebook.html 174B
  76. 12. [Project] Open-Domain QA/3. Building the Haystack Pipeline.mp4 55.80MB
  77. 12. [Project] Open-Domain QA/3. Building the Haystack Pipeline.srt 8.96KB
  78. 12. [Project] Open-Domain QA/3.1 Notebook.html 180B
  79. 13. Similarity/1. Introduction to Similarity.mp4 28.25MB
  80. 13. Similarity/1. Introduction to Similarity.srt 7.85KB
  81. 13. Similarity/2. Extracting The Last Hidden State Tensor.mp4 29.76MB
  82. 13. Similarity/2. Extracting The Last Hidden State Tensor.srt 5.67KB
  83. 13. Similarity/3. Sentence Vectors With Mean Pooling.mp4 32.09MB
  84. 13. Similarity/3. Sentence Vectors With Mean Pooling.srt 8.04KB
  85. 13. Similarity/4. Using Cosine Similarity.mp4 33.86MB
  86. 13. Similarity/4. Using Cosine Similarity.srt 5.83KB
  87. 13. Similarity/5. Similarity With Sentence-Transformers.mp4 23.02MB
  88. 13. Similarity/5. Similarity With Sentence-Transformers.srt 4.13KB
  89. 14. Fine-Tuning Transformer Models/1. Visual Guide to BERT Pretraining.mp4 28.60MB
  90. 14. Fine-Tuning Transformer Models/1. Visual Guide to BERT Pretraining.srt 9.71KB
  91. 14. Fine-Tuning Transformer Models/10. Fine-tuning with NSP - Data Preparation.mp4 77.97MB
  92. 14. Fine-Tuning Transformer Models/10. Fine-tuning with NSP - Data Preparation.srt 14.65KB
  93. 14. Fine-Tuning Transformer Models/10.1 Notebook.html 151B
  94. 14. Fine-Tuning Transformer Models/11. Fine-tuning with NSP - DataLoader.mp4 14.27MB
  95. 14. Fine-Tuning Transformer Models/11. Fine-tuning with NSP - DataLoader.srt 3.34KB
  96. 14. Fine-Tuning Transformer Models/11.1 Notebook.html 151B
  97. 14. Fine-Tuning Transformer Models/12. Setup the NSP Fine-tuning Training Loop.html 136B
  98. 14. Fine-Tuning Transformer Models/13. The Logic of MLM and NSP.mp4 26.25MB
  99. 14. Fine-Tuning Transformer Models/13. The Logic of MLM and NSP.srt 5.46KB
  100. 14. Fine-Tuning Transformer Models/13.1 Notebook.html 156B
  101. 14. Fine-Tuning Transformer Models/14. Fine-tuning with MLM and NSP - Data Preparation.mp4 43.62MB
  102. 14. Fine-Tuning Transformer Models/14. Fine-tuning with MLM and NSP - Data Preparation.srt 8.94KB
  103. 14. Fine-Tuning Transformer Models/14.1 Notebook.html 159B
  104. 14. Fine-Tuning Transformer Models/15. Setup DataLoader and Model Fine-tuning For MLM and NSP.html 136B
  105. 14. Fine-Tuning Transformer Models/2. Introduction to BERT For Pretraining Code.mp4 29.26MB
  106. 14. Fine-Tuning Transformer Models/2. Introduction to BERT For Pretraining Code.srt 5.14KB
  107. 14. Fine-Tuning Transformer Models/2.1 Notebook.html 143B
  108. 14. Fine-Tuning Transformer Models/3. BERT Pretraining - Masked-Language Modeling (MLM).mp4 46.71MB
  109. 14. Fine-Tuning Transformer Models/3. BERT Pretraining - Masked-Language Modeling (MLM).srt 9.34KB
  110. 14. Fine-Tuning Transformer Models/3.1 Notebook.html 143B
  111. 14. Fine-Tuning Transformer Models/4. BERT Pretraining - Next Sentence Prediction (NSP).mp4 42.08MB
  112. 14. Fine-Tuning Transformer Models/4. BERT Pretraining - Next Sentence Prediction (NSP).srt 6.98KB
  113. 14. Fine-Tuning Transformer Models/4.1 Notebook.html 143B
  114. 14. Fine-Tuning Transformer Models/5. The Logic of MLM.mp4 79.41MB
  115. 14. Fine-Tuning Transformer Models/5. The Logic of MLM.srt 13.33KB
  116. 14. Fine-Tuning Transformer Models/5.1 Notebook.html 154B
  117. 14. Fine-Tuning Transformer Models/6. Fine-tuning with MLM - Data Preparation.mp4 76.72MB
  118. 14. Fine-Tuning Transformer Models/6. Fine-tuning with MLM - Data Preparation.srt 13.44KB
  119. 14. Fine-Tuning Transformer Models/6.1 Notebook.html 151B
  120. 14. Fine-Tuning Transformer Models/7. Fine-tuning with MLM - Training.mp4 69.69MB
  121. 14. Fine-Tuning Transformer Models/7. Fine-tuning with MLM - Training.srt 13.67KB
  122. 14. Fine-Tuning Transformer Models/7.1 Notebook.html 151B
  123. 14. Fine-Tuning Transformer Models/8. Fine-tuning with MLM - Training with Trainer.mp4 19.88MB
  124. 14. Fine-Tuning Transformer Models/8. Fine-tuning with MLM - Training with Trainer.srt 3.37KB
  125. 14. Fine-Tuning Transformer Models/8.1 Notebook.html 159B
  126. 14. Fine-Tuning Transformer Models/9. The Logic of NSP.mp4 20.88MB
  127. 14. Fine-Tuning Transformer Models/9. The Logic of NSP.srt 4.61KB
  128. 14. Fine-Tuning Transformer Models/9.1 Notebook.html 154B
  129. 2. NLP and Transformers/1. The Three Eras of AI.mp4 22.20MB
  130. 2. NLP and Transformers/1. The Three Eras of AI.srt 7.72KB
  131. 2. NLP and Transformers/10. Transformer Heads.mp4 39.82MB
  132. 2. NLP and Transformers/10. Transformer Heads.srt 10.67KB
  133. 2. NLP and Transformers/2. Pros and Cons of Neural AI.mp4 32.79MB
  134. 2. NLP and Transformers/2. Pros and Cons of Neural AI.srt 5.43KB
  135. 2. NLP and Transformers/2.1 2010 Flash Crash.html 159B
  136. 2. NLP and Transformers/2.2 Amazon AI Recruitment Bias.html 144B
  137. 2. NLP and Transformers/2.3 Self-Driving Limitations.html 163B
  138. 2. NLP and Transformers/3. Word Vectors.mp4 21.73MB
  139. 2. NLP and Transformers/3. Word Vectors.srt 5.10KB
  140. 2. NLP and Transformers/4. Recurrent Neural Networks.mp4 17.10MB
  141. 2. NLP and Transformers/4. Recurrent Neural Networks.srt 4.47KB
  142. 2. NLP and Transformers/5. Long Short-Term Memory.mp4 6.34MB
  143. 2. NLP and Transformers/5. Long Short-Term Memory.srt 2.18KB
  144. 2. NLP and Transformers/6. Encoder-Decoder Attention.mp4 25.17MB
  145. 2. NLP and Transformers/6. Encoder-Decoder Attention.srt 6.06KB
  146. 2. NLP and Transformers/7. Self-Attention.mp4 20.80MB
  147. 2. NLP and Transformers/7. Self-Attention.srt 4.63KB
  148. 2. NLP and Transformers/8. Multi-head Attention.mp4 13.33MB
  149. 2. NLP and Transformers/8. Multi-head Attention.srt 3.21KB
  150. 2. NLP and Transformers/9. Positional Encoding.mp4 55.53MB
  151. 2. NLP and Transformers/9. Positional Encoding.srt 9.62KB
  152. 3. Preprocessing for NLP/1. Stopwords.mp4 23.06MB
  153. 3. Preprocessing for NLP/1. Stopwords.srt 6.26KB
  154. 3. Preprocessing for NLP/1.1 Notebook.html 153B
  155. 3. Preprocessing for NLP/2. Tokens Introduction.mp4 24.04MB
  156. 3. Preprocessing for NLP/2. Tokens Introduction.srt 8.43KB
  157. 3. Preprocessing for NLP/2.1 Notebook.html 150B
  158. 3. Preprocessing for NLP/3. Model-Specific Special Tokens.mp4 18.89MB
  159. 3. Preprocessing for NLP/3. Model-Specific Special Tokens.srt 7.11KB
  160. 3. Preprocessing for NLP/3.1 Notebook.html 150B
  161. 3. Preprocessing for NLP/4. Stemming.mp4 17.24MB
  162. 3. Preprocessing for NLP/4. Stemming.srt 6.46KB
  163. 3. Preprocessing for NLP/4.1 Notebook.html 152B
  164. 3. Preprocessing for NLP/5. Lemmatization.mp4 10.58MB
  165. 3. Preprocessing for NLP/5. Lemmatization.srt 4.23KB
  166. 3. Preprocessing for NLP/5.1 Notebook.html 157B
  167. 3. Preprocessing for NLP/6. Unicode Normalization - Canonical and Compatibility Equivalence.mp4 16.97MB
  168. 3. Preprocessing for NLP/6. Unicode Normalization - Canonical and Compatibility Equivalence.srt 6.50KB
  169. 3. Preprocessing for NLP/6.1 Notebook.html 157B
  170. 3. Preprocessing for NLP/7. Unicode Normalization - Composition and Decomposition.mp4 20.25MB
  171. 3. Preprocessing for NLP/7. Unicode Normalization - Composition and Decomposition.srt 5.67KB
  172. 3. Preprocessing for NLP/7.1 Notebook.html 157B
  173. 3. Preprocessing for NLP/8. Unicode Normalization - NFD and NFC.mp4 20.02MB
  174. 3. Preprocessing for NLP/8. Unicode Normalization - NFD and NFC.srt 6.23KB
  175. 3. Preprocessing for NLP/8.1 Notebook.html 157B
  176. 3. Preprocessing for NLP/9. Unicode Normalization - NFKD and NFKC.mp4 30.42MB
  177. 3. Preprocessing for NLP/9. Unicode Normalization - NFKD and NFKC.srt 8.68KB
  178. 3. Preprocessing for NLP/9.1 Notebook.html 157B
  179. 4. Attention/1. Attention Introduction.mp4 15.79MB
  180. 4. Attention/1. Attention Introduction.srt 2.70KB
  181. 4. Attention/1.1 Notebook.html 147B
  182. 4. Attention/2. Alignment With Dot-Product.mp4 49.12MB
  183. 4. Attention/2. Alignment With Dot-Product.srt 13.75KB
  184. 4. Attention/2.1 Notebook.html 161B
  185. 4. Attention/3. Dot-Product Attention.mp4 28.99MB
  186. 4. Attention/3. Dot-Product Attention.srt 5.51KB
  187. 4. Attention/3.1 Notebook.html 161B
  188. 4. Attention/4. Self Attention.mp4 28.40MB
  189. 4. Attention/4. Self Attention.srt 6.23KB
  190. 4. Attention/4.1 Notebook.html 154B
  191. 4. Attention/5. Bidirectional Attention.mp4 10.78MB
  192. 4. Attention/5. Bidirectional Attention.srt 2.95KB
  193. 4. Attention/5.1 Notebook.html 163B
  194. 4. Attention/6. Multi-head and Scaled Dot-Product Attention.mp4 33.83MB
  195. 4. Attention/6. Multi-head and Scaled Dot-Product Attention.srt 7.12KB
  196. 4. Attention/6.1 Notebook.html 159B
  197. 5. Language Classification/1. Introduction to Sentiment Analysis.mp4 37.53MB
  198. 5. Language Classification/1. Introduction to Sentiment Analysis.srt 10.08KB
  199. 5. Language Classification/1.1 Notebook.html 178B
  200. 5. Language Classification/2. Prebuilt Flair Models.mp4 30.71MB
  201. 5. Language Classification/2. Prebuilt Flair Models.srt 9.35KB
  202. 5. Language Classification/2.1 Notebook.html 174B
  203. 5. Language Classification/3. Introduction to Sentiment Models With Transformers.mp4 26.92MB
  204. 5. Language Classification/3. Introduction to Sentiment Models With Transformers.srt 7.09KB
  205. 5. Language Classification/3.1 Notebook.html 181B
  206. 5. Language Classification/4. Tokenization And Special Tokens For BERT.mp4 55.43MB
  207. 5. Language Classification/4. Tokenization And Special Tokens For BERT.srt 8.41KB
  208. 5. Language Classification/4.1 Notebook.html 181B
  209. 5. Language Classification/5. Making Predictions.mp4 25.97MB
  210. 5. Language Classification/5. Making Predictions.srt 6.86KB
  211. 5. Language Classification/5.1 Notebook.html 181B
  212. 6. [Project] Sentiment Model With TensorFlow and Transformers/1. Project Overview.mp4 12.51MB
  213. 6. [Project] Sentiment Model With TensorFlow and Transformers/1. Project Overview.srt 3.39KB
  214. 6. [Project] Sentiment Model With TensorFlow and Transformers/2. Getting the Data (Kaggle API).mp4 35.02MB
  215. 6. [Project] Sentiment Model With TensorFlow and Transformers/2. Getting the Data (Kaggle API).srt 8.39KB
  216. 6. [Project] Sentiment Model With TensorFlow and Transformers/2.1 Notebook.html 176B
  217. 6. [Project] Sentiment Model With TensorFlow and Transformers/3. Preprocessing.mp4 62.49MB
  218. 6. [Project] Sentiment Model With TensorFlow and Transformers/3. Preprocessing.srt 15.17KB
  219. 6. [Project] Sentiment Model With TensorFlow and Transformers/3.1 Notebook.html 176B
  220. 6. [Project] Sentiment Model With TensorFlow and Transformers/4. Building a Dataset.mp4 22.57MB
  221. 6. [Project] Sentiment Model With TensorFlow and Transformers/4. Building a Dataset.srt 6.05KB
  222. 6. [Project] Sentiment Model With TensorFlow and Transformers/4.1 Notebook.html 177B
  223. 6. [Project] Sentiment Model With TensorFlow and Transformers/5. Dataset Shuffle, Batch, Split, and Save.mp4 30.17MB
  224. 6. [Project] Sentiment Model With TensorFlow and Transformers/5. Dataset Shuffle, Batch, Split, and Save.srt 7.65KB
  225. 6. [Project] Sentiment Model With TensorFlow and Transformers/5.1 Notebook.html 177B
  226. 6. [Project] Sentiment Model With TensorFlow and Transformers/6. Build and Save.mp4 77.01MB
  227. 6. [Project] Sentiment Model With TensorFlow and Transformers/6. Build and Save.srt 14.07KB
  228. 6. [Project] Sentiment Model With TensorFlow and Transformers/6.1 Notebook.html 178B
  229. 6. [Project] Sentiment Model With TensorFlow and Transformers/7. Loading and Prediction.mp4 56.77MB
  230. 6. [Project] Sentiment Model With TensorFlow and Transformers/7. Loading and Prediction.srt 11.68KB
  231. 6. [Project] Sentiment Model With TensorFlow and Transformers/7.1 Notebook.html 179B
  232. 7. Long Text Classification With BERT/1. Classification of Long Text Using Windows.mp4 116.14MB
  233. 7. Long Text Classification With BERT/1. Classification of Long Text Using Windows.srt 24.21KB
  234. 7. Long Text Classification With BERT/1.1 Article.html 188B
  235. 7. Long Text Classification With BERT/1.2 Notebook.html 173B
  236. 7. Long Text Classification With BERT/2. Window Method in PyTorch.mp4 84.94MB
  237. 7. Long Text Classification With BERT/2. Window Method in PyTorch.srt 16.33KB
  238. 7. Long Text Classification With BERT/2.1 Notebook.html 178B
  239. 8. Named Entity Recognition (NER)/1. Introduction to spaCy.mp4 51.64MB
  240. 8. Named Entity Recognition (NER)/1. Introduction to spaCy.srt 9.38KB
  241. 8. Named Entity Recognition (NER)/1.1 Notebook.html 169B
  242. 8. Named Entity Recognition (NER)/1.2 spaCy Model Docs.html 84B
  243. 8. Named Entity Recognition (NER)/10. NER With roBERTa.mp4 59.01MB
  244. 8. Named Entity Recognition (NER)/10. NER With roBERTa.srt 10.38KB
  245. 8. Named Entity Recognition (NER)/10.1 Notebook.html 177B
  246. 8. Named Entity Recognition (NER)/2. Extracting Entities.mp4 33.53MB
  247. 8. Named Entity Recognition (NER)/2. Extracting Entities.srt 6.74KB
  248. 8. Named Entity Recognition (NER)/2.1 Notebook.html 169B
  249. 8. Named Entity Recognition (NER)/3. NER Walkthrough.html 136B
  250. 8. Named Entity Recognition (NER)/4. Authenticating With The Reddit API.mp4 35.63MB
  251. 8. Named Entity Recognition (NER)/4. Authenticating With The Reddit API.srt 7.82KB
  252. 8. Named Entity Recognition (NER)/4.1 Notebook.html 174B
  253. 8. Named Entity Recognition (NER)/5. Pulling Data With The Reddit API.mp4 88.96MB
  254. 8. Named Entity Recognition (NER)/5. Pulling Data With The Reddit API.srt 12.92KB
  255. 8. Named Entity Recognition (NER)/5.1 Notebook.html 174B
  256. 8. Named Entity Recognition (NER)/6. Extracting ORGs From Reddit Data.mp4 28.11MB
  257. 8. Named Entity Recognition (NER)/6. Extracting ORGs From Reddit Data.srt 6.70KB
  258. 8. Named Entity Recognition (NER)/6.1 Data.html 171B
  259. 8. Named Entity Recognition (NER)/6.2 Notebook.html 176B
  260. 8. Named Entity Recognition (NER)/7. Getting Entity Frequency.mp4 18.39MB
  261. 8. Named Entity Recognition (NER)/7. Getting Entity Frequency.srt 3.92KB
  262. 8. Named Entity Recognition (NER)/7.1 Notebook.html 176B
  263. 8. Named Entity Recognition (NER)/8. Entity Blacklist.mp4 20.15MB
  264. 8. Named Entity Recognition (NER)/8. Entity Blacklist.srt 3.98KB
  265. 8. Named Entity Recognition (NER)/8.1 Notebook.html 176B
  266. 8. Named Entity Recognition (NER)/9. NER With Sentiment.mp4 99.88MB
  267. 8. Named Entity Recognition (NER)/9. NER With Sentiment.srt 19.60KB
  268. 8. Named Entity Recognition (NER)/9.1 Notebook.html 172B
  269. 9. Question and Answering/1. Open Domain and Reading Comprehension.mp4 16.07MB
  270. 9. Question and Answering/1. Open Domain and Reading Comprehension.srt 3.56KB
  271. 9. Question and Answering/1.1 Notebook.html 160B
  272. 9. Question and Answering/2. Retrievers, Readers, and Generators.mp4 28.68MB
  273. 9. Question and Answering/2. Retrievers, Readers, and Generators.srt 7.08KB
  274. 9. Question and Answering/2.1 Notebook.html 160B
  275. 9. Question and Answering/3. Intro to SQuAD 2.0.mp4 25.39MB
  276. 9. Question and Answering/3. Intro to SQuAD 2.0.srt 6.65KB
  277. 9. Question and Answering/3.1 Notebook.html 162B
  278. 9. Question and Answering/4. Processing SQuAD Training Data.mp4 38.42MB
  279. 9. Question and Answering/4. Processing SQuAD Training Data.srt 7.04KB
  280. 9. Question and Answering/4.1 Notebook.html 175B
  281. 9. Question and Answering/5. (Optional) Processing SQuAD Training Data with Match-Case.mp4 30.10MB
  282. 9. Question and Answering/5. (Optional) Processing SQuAD Training Data with Match-Case.srt 5.06KB
  283. 9. Question and Answering/5.1 Notebook.html 167B
  284. 9. Question and Answering/5.2 Pattern Matching Article.html 184B
  285. 9. Question and Answering/6. Processing SQuAD Dev Data.html 136B
  286. 9. Question and Answering/7. Our First Q&A Model.mp4 45.71MB
  287. 9. Question and Answering/7. Our First Q&A Model.srt 9.03KB
  288. 9. Question and Answering/7.1 Notebook.html 163B
  289. [FreeCourseLab.com].url 126B