Tips for Generation in Encoder-Decoder model
这里归纳一些在训练Encoder-Decoder模型时的小tip： 1.训练时，在Decoder中，RNN的当前输入应该使用上一次RNN的output还是ground truth ? 答：如果训练时都使用ground truth作为RNN的当前输入，那么会导致train 和 test的mismatch。因此test时我们没有sample，test的时候只能将上一时间的output作为当前input
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相关文章
- 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
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- 7. TIPS FOR C++
- 8. tips for pandas
- 9. Tips In Work
- 10. [NLG]A Working Memory Model for Task-oriented Dialog Response Generation