Oreilly - Deep Learning for Natural Language Processing, Video Edition

Started by AD-TEAM, Nov 03, 2024, 05:29 AM

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AD-TEAM


838.04 MB | 00:34:26 | mp4 | 1280X720  | 16:9
Genre:eLearning |Language:English

Files Included :
Chapter 1  Deep learning  (38.74 MB)
Chapter 1  Deep learning for NLP  (53.1 MB)
Chapter 1  Summary  (1.45 MB)
Chapter 1  Vector representations of language  (28.49 MB)
Chapter 1  Vector sanitization  (10.02 MB)
Chapter 10  Applications of Transformers Hands-on with BERT  (8.02 MB)
Chapter 10  Applying BERT  (8.09 MB)
Chapter 10  A BERT layer  (10.62 MB)
Chapter 10  Fine-tuning BERT  (4.01 MB)
Chapter 10  Inspecting BERT  (9.5 MB)
Chapter 10  Summary  (1.71 MB)
Chapter 10  Training BERT on your data  (14.51 MB)
Chapter 2  Deep learning and language The basics  (83.96 MB)
Chapter 2  Deep learning and NLP A new paradigm  (8.2 MB)
Chapter 2  Summary  (1.33 MB)
Chapter 3  From documents to vectors Doc2Vec  (23.88 MB)
Chapter 3  From words to vectors Word2Vec  (36.62 MB)
Chapter 3  Summary  (1.21 MB)
Chapter 3  Text embeddings  (33.2 MB)
Chapter 4  Data representation  (21.89 MB)
Chapter 4  Models for measuring similarity  (33.07 MB)
Chapter 4  Summary  (2.66 MB)
Chapter 4  Textual similarity  (6.37 MB)
Chapter 4  The data  (5.72 MB)
Chapter 5  Data and data processing  (13.71 MB)
Chapter 5  Question Answering with sequential models  (63.09 MB)
Chapter 5  Sequential NLP  (12.97 MB)
Chapter 5  Summary  (1.51 MB)
Chapter 6  Data and data processing  (14.74 MB)
Chapter 6  Episodic memory for NLP  (15.89 MB)
Chapter 6  Semi-supervised memory networks  (22.92 MB)
Chapter 6  Strongly supervised memory networks Experiments and results  (6.88 MB)
Chapter 6  Summary  (1.3 MB)
Chapter 7  Attention  (23.01 MB)
Chapter 7  Data  (5.17 MB)
Chapter 7  Experiments  (15.06 MB)
Chapter 7  Static attention MLP  (11.09 MB)
Chapter 7  Summary  (1.83 MB)
Chapter 7  Temporal attention LSTM  (17.78 MB)
Chapter 8  Multitask learning  (10.32 MB)
Chapter 8  Multitask learning for consumer reviews Yelp and Amazon  (19.59 MB)
Chapter 8  Multitask learning for part-of-speech tagging and named-entity recognition  (13.98 MB)
Chapter 8  Multitask learning for Reuters topic classification  (13.32 MB)
Chapter 8  Summary  (2.76 MB)
Chapter 9  BERT Masked language modeling  (42.08 MB)
Chapter 9  Summary  (2.34 MB)
Chapter 9  Transformers  (10.8 MB)
Chapter 9  Transformer decoders  (11.86 MB)
Chapter 9  Transformer encoders  (32.91 MB)
Part 1  Introduction  (1.46 MB)
Part 2  Deep NLP  (1.25 MB)
Part 3  Advanced topics  (1.98 MB)
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