Tips for Generation in Encoder-Decoder model
這裏歸納一些在訓練Encoder-Decoder模型時的小tip： 1.訓練時，在Decoder中，RNN的當前輸入應該使用上一次RNN的output還是ground truth ? 答：如果訓練時都使用ground truth作爲RNN的當前輸入，那麼會導致train 和 test的mismatch。因此test時我們沒有sample，test的時候只能將上一時間的output作爲當前input
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相關文章
- 1. [Coling2018]SGM：Sequence Generation Model for Multi-Label Classification
- 2. RL for Sentence Generation
- 3. Affect-LM: A Neural Language Model for Customizable Affective Text Generation
- 4. UniLM: Unified Language Model Pre-training for Natural Language Understanding and Generation
- 5. Tips for VNCServer config
- 6. Learning to Customize Model Structures for Few-shot Dialogue Generation Tasks
- 7. TIPS FOR C++
- 8. tips for pandas
- 9. Tips In Work
- 10. [NLG]A Working Memory Model for Task-oriented Dialog Response Generation