CMU 11-785 L17 Seq2seq and attention model
Generating Language Synthesis Input: symbols as one-hot vectors Dimensionality of the vector is the size of the 「vocabulary」 Projected down to lower-dimensional 「embeddings」 The hidden units are (one
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相關文章
- 1. Transformer、Attention與seq2seq model
- 2. Seq2Seq and Attention 入門
- 3. Construct a Seq2Seq Model with Attention Mechanism
- 4. CS224n-Lecture8-Machine Translation, Seq2Seq and Attention
- 5. 【cs224n-7】Machine Translation, Seq2Seq and Attention
- 6. lecture8 - Machine Translation Seq2Seq and Attention
- 7. seq2seq model和Attention-based seq2seq Model(動圖展示)
- 8. cs224筆記：Lecture 8 Machine Translation, Seq2Seq and Attention
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- 10. seq2seq attention