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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