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

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    • Files
    1. 0. Websites you may like/[CourseClub.Me].url122 B
    2. 0. Websites you may like/[FreeCourseSite.com].url127 B
    3. 0. Websites you may like/[GigaCourse.Com].url49 B
    4. 1. Introduction/1. Introduction-en_US.srt2.99 KB
    5. 1. Introduction/1. Introduction.mp49.20 MB
    6. 1. Introduction/2. Course Overview-en_US.srt7.76 KB
    7. 1. Introduction/2. Course Overview.mp434.38 MB
    8. 1. Introduction/2. External URLs.txt58 B
    9. 1. Introduction/3. Environment Setup-en_US.srt7.09 KB
    10. 1. Introduction/3. Environment Setup.mp431.33 MB
    11. 1. Introduction/3. External URLs.txt98 B
    12. 1. Introduction/4. CUDA Setup-en_US.srt3.40 KB
    13. 1. Introduction/4. CUDA Setup.mp439.65 MB
    14. 1. Introduction/4. External URLs.txt98 B
    15. 1. Introduction/Alternative Colab Setup.html3.46 KB
    16. 1. Introduction/Alternative Local Setup.html2.37 KB
    17. 10. Metrics For Language/1. External URLs.txt112 B
    18. 10. Metrics For Language/1. Q&A Performance With Exact Match (EM)-en_US.srt5.28 KB
    19. 10. Metrics For Language/1. Q&A Performance With Exact Match (EM).mp416.50 MB
    20. 10. Metrics For Language/2. External URLs.txt106 B
    21. 10. Metrics For Language/2. ROUGE in Python-en_US.srt4.29 KB
    22. 10. Metrics For Language/2. ROUGE in Python.mp418.44 MB
    23. 10. Metrics For Language/3. Applying ROUGE to Q&A-en_US.srt8.22 KB
    24. 10. Metrics For Language/3. Applying ROUGE to Q&A.mp431.20 MB
    25. 10. Metrics For Language/3. External URLs.txt114 B
    26. 10. Metrics For Language/4. External URLs.txt106 B
    27. 10. Metrics For Language/4. Recall, Precision and F1-en_US.srt5.23 KB
    28. 10. Metrics For Language/4. Recall, Precision and F1.mp415.98 MB
    29. 10. Metrics For Language/5. External URLs.txt106 B
    30. 10. Metrics For Language/5. Longest Common Subsequence (LCS)-en_US.srt2.90 KB
    31. 10. Metrics For Language/5. Longest Common Subsequence (LCS).mp49.87 MB
    32. 10. Metrics For Language/6. External URLs.txt106 B
    33. 10. Metrics For Language/6. Q&A Performance With ROUGE-en_US.srt3.97 KB
    34. 10. Metrics For Language/6. Q&A Performance With ROUGE.mp412.21 MB
    35. 11. Reader-Retriever QA With Haystack/1. External URLs.txt109 B
    36. 11. Reader-Retriever QA With Haystack/1. Intro to Retriever-Reader and Haystack-en_US.srt3.66 KB
    37. 11. Reader-Retriever QA With Haystack/1. Intro to Retriever-Reader and Haystack.mp413.94 MB
    38. 11. Reader-Retriever QA With Haystack/10. External URLs.txt118 B
    39. 11. Reader-Retriever QA With Haystack/10. FAISS in Haystack-en_US.srt12.82 KB
    40. 11. Reader-Retriever QA With Haystack/10. FAISS in Haystack.mp480.32 MB
    41. 11. Reader-Retriever QA With Haystack/11. External URLs.txt252 B
    42. 11. Reader-Retriever QA With Haystack/11. What is DPR-en_US.srt8.17 KB
    43. 11. Reader-Retriever QA With Haystack/11. What is DPR.mp419.07 MB
    44. 11. Reader-Retriever QA With Haystack/12. External URLs.txt252 B
    45. 11. Reader-Retriever QA With Haystack/12. The DPR Architecture-en_US.srt2.15 KB
    46. 11. Reader-Retriever QA With Haystack/12. The DPR Architecture.mp48.87 MB
    47. 11. Reader-Retriever QA With Haystack/13. External URLs.txt107 B
    48. 11. Reader-Retriever QA With Haystack/13. Retriever-Reader Stack-en_US.srt10.63 KB
    49. 11. Reader-Retriever QA With Haystack/13. Retriever-Reader Stack.mp4103.26 MB
    50. 11. Reader-Retriever QA With Haystack/2. External URLs.txt181 B
    51. 11. Reader-Retriever QA With Haystack/2. What is Elasticsearch-en_US.srt6.90 KB
    52. 11. Reader-Retriever QA With Haystack/2. What is Elasticsearch.mp416.35 MB
    53. 11. Reader-Retriever QA With Haystack/3. Elasticsearch Setup (Windows)-en_US.srt1.99 KB
    54. 11. Reader-Retriever QA With Haystack/3. Elasticsearch Setup (Windows).mp425.24 MB
    55. 11. Reader-Retriever QA With Haystack/4. Elasticsearch Setup (Linux)-en_US.srt1.93 KB
    56. 11. Reader-Retriever QA With Haystack/4. Elasticsearch Setup (Linux).mp422.55 MB
    57. 11. Reader-Retriever QA With Haystack/5. Elasticsearch in Haystack-en_US.srt8.32 KB
    58. 11. Reader-Retriever QA With Haystack/5. Elasticsearch in Haystack.mp445.64 MB
    59. 11. Reader-Retriever QA With Haystack/5. External URLs.txt120 B
    60. 11. Reader-Retriever QA With Haystack/6. External URLs.txt120 B
    61. 11. Reader-Retriever QA With Haystack/6. Sparse Retrievers-en_US.srt4.02 KB
    62. 11. Reader-Retriever QA With Haystack/6. Sparse Retrievers.mp412.27 MB
    63. 11. Reader-Retriever QA With Haystack/7. Cleaning the Index-en_US.srt5.01 KB
    64. 11. Reader-Retriever QA With Haystack/7. Cleaning the Index.mp430.08 MB
    65. 11. Reader-Retriever QA With Haystack/7. External URLs.txt120 B
    66. 11. Reader-Retriever QA With Haystack/8. External URLs.txt120 B
    67. 11. Reader-Retriever QA With Haystack/8. Implementing a BM25 Retriever-en_US.srt2.40 KB
    68. 11. Reader-Retriever QA With Haystack/8. Implementing a BM25 Retriever.mp48.80 MB
    69. 11. Reader-Retriever QA With Haystack/9. External URLs.txt235 B
    70. 11. Reader-Retriever QA With Haystack/9. What is FAISS-en_US.srt9.47 KB
    71. 11. Reader-Retriever QA With Haystack/9. What is FAISS.mp428.63 MB
    72. 11. Reader-Retriever QA With Haystack/Further Materials for Faiss.html3.70 KB
    73. 12. [Project] Open-Domain QA/1. ODQA Stack Structure-en_US.srt1.90 KB
    74. 12. [Project] Open-Domain QA/1. ODQA Stack Structure.mp46.22 MB
    75. 12. [Project] Open-Domain QA/2. Creating the Database-en_US.srt7.42 KB
    76. 12. [Project] Open-Domain QA/2. Creating the Database.mp464.78 MB
    77. 12. [Project] Open-Domain QA/2. External URLs.txt219 B
    78. 12. [Project] Open-Domain QA/3. Building the Haystack Pipeline-en_US.srt8.56 KB
    79. 12. [Project] Open-Domain QA/3. Building the Haystack Pipeline.mp480.23 MB
    80. 12. [Project] Open-Domain QA/3. External URLs.txt132 B
    81. 13. Similarity/1. Introduction to Similarity-en_US.srt7.58 KB
    82. 13. Similarity/1. Introduction to Similarity.mp428.24 MB
    83. 13. Similarity/2. Extracting The Last Hidden State Tensor-en_US.srt5.43 KB
    84. 13. Similarity/2. Extracting The Last Hidden State Tensor.mp435.65 MB
    85. 13. Similarity/3. Sentence Vectors With Mean Pooling-en_US.srt7.73 KB
    86. 13. Similarity/3. Sentence Vectors With Mean Pooling.mp436.70 MB
    87. 13. Similarity/4. Using Cosine Similarity-en_US.srt5.60 KB
    88. 13. Similarity/4. Using Cosine Similarity.mp428.60 MB
    89. 13. Similarity/5. Similarity With Sentence-Transformers-en_US.srt3.96 KB
    90. 13. Similarity/5. Similarity With Sentence-Transformers.mp420.44 MB
    91. 13. Similarity/Further Learning.html322 B
    92. 14. Pre-Training Transformer Models/1. Visual Guide to BERT Pretraining-en_US.srt9.34 KB
    93. 14. Pre-Training Transformer Models/1. Visual Guide to BERT Pretraining.mp428.60 MB
    94. 14. Pre-Training Transformer Models/10. External URLs.txt103 B
    95. 14. Pre-Training Transformer Models/10. Pre-training with NSP - Data Preparation-en_US.srt14.06 KB
    96. 14. Pre-Training Transformer Models/10. Pre-training with NSP - Data Preparation.mp4104.73 MB
    97. 14. Pre-Training Transformer Models/11. External URLs.txt103 B
    98. 14. Pre-Training Transformer Models/11. Pre-training with NSP - DataLoader-en_US.srt3.20 KB
    99. 14. Pre-Training Transformer Models/11. Pre-training with NSP - DataLoader.mp416.52 MB
    100. 14. Pre-Training Transformer Models/12. External URLs.txt108 B
    101. 14. Pre-Training Transformer Models/12. The Logic of MLM and NSP-en_US.srt5.23 KB
    102. 14. Pre-Training Transformer Models/12. The Logic of MLM and NSP.mp437.48 MB
    103. 14. Pre-Training Transformer Models/13. External URLs.txt111 B
    104. 14. Pre-Training Transformer Models/13. Pre-training with MLM and NSP - Data Preparation-en_US.srt8.58 KB
    105. 14. Pre-Training Transformer Models/13. Pre-training with MLM and NSP - Data Preparation.mp461.98 MB
    106. 14. Pre-Training Transformer Models/2. External URLs.txt95 B
    107. 14. Pre-Training Transformer Models/2. Introduction to BERT For Pretraining Code-en_US.srt4.94 KB
    108. 14. Pre-Training Transformer Models/2. Introduction to BERT For Pretraining Code.mp438.09 MB
    109. 14. Pre-Training Transformer Models/3. BERT Pretraining - Masked-Language Modeling (MLM)-en_US.srt8.95 KB
    110. 14. Pre-Training Transformer Models/3. BERT Pretraining - Masked-Language Modeling (MLM).mp467.32 MB
    111. 14. Pre-Training Transformer Models/3. External URLs.txt95 B
    112. 14. Pre-Training Transformer Models/4. BERT Pretraining - Next Sentence Prediction (NSP)-en_US.srt6.69 KB
    113. 14. Pre-Training Transformer Models/4. BERT Pretraining - Next Sentence Prediction (NSP).mp447.67 MB
    114. 14. Pre-Training Transformer Models/4. External URLs.txt95 B
    115. 14. Pre-Training Transformer Models/5. External URLs.txt106 B
    116. 14. Pre-Training Transformer Models/5. The Logic of MLM-en_US.srt12.77 KB
    117. 14. Pre-Training Transformer Models/5. The Logic of MLM.mp4106.48 MB
    118. 14. Pre-Training Transformer Models/6. External URLs.txt103 B
    119. 14. Pre-Training Transformer Models/6. Pre-training with MLM - Data Preparation-en_US.srt12.90 KB
    120. 14. Pre-Training Transformer Models/6. Pre-training with MLM - Data Preparation.mp4114.32 MB
    121. 14. Pre-Training Transformer Models/7. External URLs.txt103 B
    122. 14. Pre-Training Transformer Models/7. Pre-training with MLM - Training-en_US.srt13.08 KB
    123. 14. Pre-Training Transformer Models/7. Pre-training with MLM - Training.mp478.90 MB
    124. 14. Pre-Training Transformer Models/8. External URLs.txt111 B
    125. 14. Pre-Training Transformer Models/8. Pre-training with MLM - Training with Trainer-en_US.srt3.24 KB
    126. 14. Pre-Training Transformer Models/8. Pre-training with MLM - Training with Trainer.mp422.18 MB
    127. 14. Pre-Training Transformer Models/9. External URLs.txt106 B
    128. 14. Pre-Training Transformer Models/9. The Logic of NSP-en_US.srt4.43 KB
    129. 14. Pre-Training Transformer Models/9. The Logic of NSP.mp426.90 MB
    130. 2. NLP and Transformers/1. The Three Eras of AI-en_US.srt7.43 KB
    131. 2. NLP and Transformers/1. The Three Eras of AI.mp422.20 MB
    132. 2. NLP and Transformers/10. Transformer Heads-en_US.srt10.23 KB
    133. 2. NLP and Transformers/10. Transformer Heads.mp428.46 MB
    134. 2. NLP and Transformers/2. External URLs.txt364 B
    135. 2. NLP and Transformers/2. Pros and Cons of Neural AI-en_US.srt5.23 KB
    136. 2. NLP and Transformers/2. Pros and Cons of Neural AI.mp418.30 MB
    137. 2. NLP and Transformers/3. Word Vectors-en_US.srt4.92 KB
    138. 2. NLP and Transformers/3. Word Vectors.mp414.19 MB
    139. 2. NLP and Transformers/4. Recurrent Neural Networks-en_US.srt4.30 KB
    140. 2. NLP and Transformers/4. Recurrent Neural Networks.mp411.53 MB
    141. 2. NLP and Transformers/5. Long Short-Term Memory-en_US.srt2.10 KB
    142. 2. NLP and Transformers/5. Long Short-Term Memory.mp44.28 MB
    143. 2. NLP and Transformers/6. Encoder-Decoder Attention-en_US.srt5.84 KB
    144. 2. NLP and Transformers/6. Encoder-Decoder Attention.mp425.16 MB
    145. 2. NLP and Transformers/7. Self-Attention-en_US.srt4.45 KB
    146. 2. NLP and Transformers/7. Self-Attention.mp412.64 MB
    147. 2. NLP and Transformers/8. Multi-head Attention-en_US.srt3.10 KB
    148. 2. NLP and Transformers/8. Multi-head Attention.mp47.75 MB
    149. 2. NLP and Transformers/9. Positional Encoding-en_US.srt9.25 KB
    150. 2. NLP and Transformers/9. Positional Encoding.mp455.52 MB
    151. 3. Preprocessing for NLP/1. External URLs.txt105 B
    152. 3. Preprocessing for NLP/1. Stopwords-en_US.srt6.02 KB
    153. 3. Preprocessing for NLP/1. Stopwords.mp429.01 MB
    154. 3. Preprocessing for NLP/2. External URLs.txt102 B
    155. 3. Preprocessing for NLP/2. Tokens Introduction-en_US.srt8.11 KB
    156. 3. Preprocessing for NLP/2. Tokens Introduction.mp418.02 MB
    157. 3. Preprocessing for NLP/3. External URLs.txt102 B
    158. 3. Preprocessing for NLP/3. Model-Specific Special Tokens-en_US.srt6.84 KB
    159. 3. Preprocessing for NLP/3. Model-Specific Special Tokens.mp414.14 MB
    160. 3. Preprocessing for NLP/4. External URLs.txt104 B
    161. 3. Preprocessing for NLP/4. Stemming-en_US.srt6.21 KB
    162. 3. Preprocessing for NLP/4. Stemming.mp414.64 MB
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    164. 3. Preprocessing for NLP/5. Lemmatization-en_US.srt4.06 KB
    165. 3. Preprocessing for NLP/5. Lemmatization.mp48.05 MB
    166. 3. Preprocessing for NLP/6. External URLs.txt109 B
    167. 3. Preprocessing for NLP/6. Unicode Normalization - Canonical and Compatibility Equivalence-en_US.srt6.25 KB
    168. 3. Preprocessing for NLP/6. Unicode Normalization - Canonical and Compatibility Equivalence.mp414.29 MB
    169. 3. Preprocessing for NLP/7. External URLs.txt109 B
    170. 3. Preprocessing for NLP/7. Unicode Normalization - Composition and Decomposition-en_US.srt5.46 KB
    171. 3. Preprocessing for NLP/7. Unicode Normalization - Composition and Decomposition.mp413.35 MB
    172. 3. Preprocessing for NLP/8. External URLs.txt109 B
    173. 3. Preprocessing for NLP/8. Unicode Normalization - NFD and NFC-en_US.srt5.99 KB
    174. 3. Preprocessing for NLP/8. Unicode Normalization - NFD and NFC.mp416.47 MB
    175. 3. Preprocessing for NLP/9. External URLs.txt109 B
    176. 3. Preprocessing for NLP/9. Unicode Normalization - NFKD and NFKC-en_US.srt8.33 KB
    177. 3. Preprocessing for NLP/9. Unicode Normalization - NFKD and NFKC.mp424.02 MB
    178. 4. Attention/1. Attention Introduction-en_US.srt2.60 KB
    179. 4. Attention/1. Attention Introduction.mp415.78 MB
    180. 4. Attention/1. External URLs.txt99 B
    181. 4. Attention/2. Alignment With Dot-Product-en_US.srt13.18 KB
    182. 4. Attention/2. Alignment With Dot-Product.mp453.77 MB
    183. 4. Attention/2. External URLs.txt113 B
    184. 4. Attention/3. Dot-Product Attention-en_US.srt5.29 KB
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    186. 4. Attention/3. External URLs.txt113 B
    187. 4. Attention/4. External URLs.txt174 B
    188. 4. Attention/4. Self Attention-en_US.srt5.98 KB
    189. 4. Attention/4. Self Attention.mp415.28 MB
    190. 4. Attention/5. Bidirectional Attention-en_US.srt2.83 KB
    191. 4. Attention/5. Bidirectional Attention.mp46.04 MB
    192. 4. Attention/5. External URLs.txt115 B
    193. 4. Attention/6. External URLs.txt111 B
    194. 4. Attention/6. Multi-head and Scaled Dot-Product Attention-en_US.srt6.83 KB
    195. 4. Attention/6. Multi-head and Scaled Dot-Product Attention.mp418.95 MB
    196. 5. Language Classification/1. External URLs.txt130 B
    197. 5. Language Classification/1. Introduction to Sentiment Analysis-en_US.srt9.67 KB
    198. 5. Language Classification/1. Introduction to Sentiment Analysis.mp425.04 MB
    199. 5. Language Classification/2. External URLs.txt126 B
    200. 5. Language Classification/2. Prebuilt Flair Models-en_US.srt8.96 KB
    201. 5. Language Classification/2. Prebuilt Flair Models.mp424.25 MB
    202. 5. Language Classification/3. External URLs.txt133 B
    203. 5. Language Classification/3. Introduction to Sentiment Models With Transformers-en_US.srt6.81 KB
    204. 5. Language Classification/3. Introduction to Sentiment Models With Transformers.mp436.64 MB
    205. 5. Language Classification/4. External URLs.txt133 B
    206. 5. Language Classification/4. Tokenization And Special Tokens For BERT-en_US.srt8.07 KB
    207. 5. Language Classification/4. Tokenization And Special Tokens For BERT.mp485.86 MB
    208. 5. Language Classification/5. External URLs.txt133 B
    209. 5. Language Classification/5. Making Predictions-en_US.srt6.60 KB
    210. 5. Language Classification/5. Making Predictions.mp423.68 MB
    211. 6. [Project] Sentiment Model With TensorFlow and Transformers/1. Project Overview-en_US.srt3.28 KB
    212. 6. [Project] Sentiment Model With TensorFlow and Transformers/1. Project Overview.mp412.51 MB
    213. 6. [Project] Sentiment Model With TensorFlow and Transformers/2. External URLs.txt128 B
    214. 6. [Project] Sentiment Model With TensorFlow and Transformers/2. Getting the Data (Kaggle API)-en_US.srt8.03 KB
    215. 6. [Project] Sentiment Model With TensorFlow and Transformers/2. Getting the Data (Kaggle API).mp452.43 MB
    216. 6. [Project] Sentiment Model With TensorFlow and Transformers/3. External URLs.txt128 B
    217. 6. [Project] Sentiment Model With TensorFlow and Transformers/3. Preprocessing-en_US.srt14.58 KB
    218. 6. [Project] Sentiment Model With TensorFlow and Transformers/3. Preprocessing.mp491.72 MB
    219. 6. [Project] Sentiment Model With TensorFlow and Transformers/4. Building a Dataset-en_US.srt5.80 KB
    220. 6. [Project] Sentiment Model With TensorFlow and Transformers/4. Building a Dataset.mp427.77 MB
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    222. 6. [Project] Sentiment Model With TensorFlow and Transformers/5. Dataset Shuffle, Batch, Split, and Save-en_US.srt7.33 KB
    223. 6. [Project] Sentiment Model With TensorFlow and Transformers/5. Dataset Shuffle, Batch, Split, and Save.mp437.23 MB
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    225. 6. [Project] Sentiment Model With TensorFlow and Transformers/6. Build and Save-en_US.srt13.51 KB
    226. 6. [Project] Sentiment Model With TensorFlow and Transformers/6. Build and Save.mp4110.52 MB
    227. 6. [Project] Sentiment Model With TensorFlow and Transformers/6. External URLs.txt130 B
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    229. 6. [Project] Sentiment Model With TensorFlow and Transformers/7. Loading and Prediction-en_US.srt11.17 KB
    230. 6. [Project] Sentiment Model With TensorFlow and Transformers/7. Loading and Prediction.mp481.93 MB
    231. 7. Long Text Classification With BERT/1. Classification of Long Text Using Windows-en_US.srt23.23 KB
    232. 7. Long Text Classification With BERT/1. Classification of Long Text Using Windows.mp4137.87 MB
    233. 7. Long Text Classification With BERT/1. External URLs.txt264 B
    234. 7. Long Text Classification With BERT/2. External URLs.txt130 B
    235. 7. Long Text Classification With BERT/2. Window Method in PyTorch-en_US.srt15.69 KB
    236. 7. Long Text Classification With BERT/2. Window Method in PyTorch.mp499.49 MB
    237. 8. Named Entity Recognition (NER)/1. External URLs.txt165 B
    238. 8. Named Entity Recognition (NER)/1. Introduction to spaCy-en_US.srt9.02 KB
    239. 8. Named Entity Recognition (NER)/1. Introduction to spaCy.mp461.86 MB
    240. 8. Named Entity Recognition (NER)/2. External URLs.txt121 B
    241. 8. Named Entity Recognition (NER)/2. Extracting Entities-en_US.srt6.45 KB
    242. 8. Named Entity Recognition (NER)/2. Extracting Entities.mp437.08 MB
    243. 8. Named Entity Recognition (NER)/3. Authenticating With The Reddit API-en_US.srt7.51 KB
    244. 8. Named Entity Recognition (NER)/3. Authenticating With The Reddit API.mp443.01 MB
    245. 8. Named Entity Recognition (NER)/3. External URLs.txt126 B
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    247. 8. Named Entity Recognition (NER)/4. Pulling Data With The Reddit API-en_US.srt12.40 KB
    248. 8. Named Entity Recognition (NER)/4. Pulling Data With The Reddit API.mp4103.20 MB
    249. 8. Named Entity Recognition (NER)/5. External URLs.txt247 B
    250. 8. Named Entity Recognition (NER)/5. Extracting ORGs From Reddit Data-en_US.srt6.44 KB
    251. 8. Named Entity Recognition (NER)/5. Extracting ORGs From Reddit Data.mp432.19 MB
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    253. 8. Named Entity Recognition (NER)/6. Getting Entity Frequency-en_US.srt3.76 KB
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    259. 8. Named Entity Recognition (NER)/8. NER With Sentiment-en_US.srt18.79 KB
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    262. 8. Named Entity Recognition (NER)/9. NER With roBERTa-en_US.srt9.94 KB
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    264. 9. Question and Answering/1. External URLs.txt112 B
    265. 9. Question and Answering/1. Open Domain and Reading Comprehension-en_US.srt3.42 KB
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    268. 9. Question and Answering/2. Retrievers, Readers, and Generators-en_US.srt6.80 KB
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    270. 9. Question and Answering/3. External URLs.txt114 B
    271. 9. Question and Answering/3. Intro to SQuAD 2.0-en_US.srt6.38 KB
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    273. 9. Question and Answering/4. External URLs.txt127 B
    274. 9. Question and Answering/4. Processing SQuAD Training Data-en_US.srt6.75 KB
    275. 9. Question and Answering/4. Processing SQuAD Training Data.mp452.30 MB
    276. 9. Question and Answering/5. (Optional) Processing SQuAD Training Data with Match-Case-en_US.srt4.86 KB
    277. 9. Question and Answering/5. (Optional) Processing SQuAD Training Data with Match-Case.mp434.60 MB
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    280. 9. Question and Answering/6. Our First Q&A Model-en_US.srt8.66 KB
    281. 9. Question and Answering/6. Our First Q&A Model.mp453.40 MB
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