Deep Learning Specialization 5: Sequence Models - Week 2 - Word Embeddings
本週課程講的是詞向量的生成及簡單應用，正如老師所說 在大量學者地不斷研究探索下，詞向量的生成簡單到像魔法。 1.Introduction to word embeddings 1.1 Word Representation 詞的表示探討的是如何從one-hot編碼到向量化的過程，完成這一轉換之後還能帶來一些其它好處。 1-hot representation -> Featurized repre
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相關文章
- 1. Sequence Models(Week2)---Natural Language Processing & Word Embeddings
- 2. 深度學習Deep Learning Specialization [deep learning ai 吳恩達 主講] Note1
- 3. 5. Sequence Models - Wee 3 - Sequence models & Attention mechanism
- 4. Sequence Models-第二週
- 5. 課程五(Sequence Models)，第三週（Sequence models & Attention mechanism） —— 2.Programming assignments：Trigger
- 6. CS224N lecture13 Contextual Word Embeddings
- 7. Task 4: Contextual Word Embeddings （附代碼）（Stanford CS224N NLP with Deep Learning Winter 2019）
- 8. Course 5-Recurrent Neural Networks--Week 2
- 9. Sequence Models(Week3)---Sequence models & Attention mechanism
- 10. deeplearning.ai 筆記 Specialization 1 week 1