RNN神经网络- 吴恩达Andrew Ng 循环神经网络 语音识别Sequence Models and the Attention Mechanism Week3 知识总结
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1. Basic models - Sequence to sequence models
2. Picking the most likely sentence - Sequence to sequence models
3. Bean search - Sequence to sequence models
4. Refinements to beam search - Sequence to sequence models
5. Error analysis on beam search - Sequence to sequence models
6. Bleu score - Sequence to sequence models
7. Attention model intuition - Sequence to sequence models
8. Attention model - Sequence to sequence models
9. Speech recognition - Audio data
10. Trigger word detection - Audio data
11. Summary and thank you - Conclusion
参考
https://www.coursera.org/learn/nlp-sequence-models/supplement/Z2Xaf/lectures-in-pdf
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