文獻閱讀筆記—Improving Language Understanding by Generative Pre-Training
遷移學習在nlp領域的應用之pretrain language representation，四連載，建議按順序看，看完對該方向一定會非常清楚的！ （一）ELMO：Deep contextualized word representations （二）Universal Language Model Fine-tuning for Text Classification （三）openAI GPT
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相關文章
- 1. Improving Language Understanding by Generative Pre-Training閱讀筆記
- 2. 文獻閱讀筆記：XLNet: Generalized Autoregressive Pretraining for Language Understanding
- 3. 【論文筆記】Improving Language Understanding by Generative Pre-Training
- 4. GPT模型：Improving Language Understanding by Generative Pre-Training
- 5. 文獻閱讀筆記：NEZHA(Neural Contextualized Representation for Chinese Language Understanding)
- 6. 深度學習 -- > NLP -- >Improving Language Understanding by Generative Pre-Training
- 7. 【論文閱讀筆記】Cross-lingual Language Model Pretraining
- 8. Multi-Task Deep Neural Networks for Natural Language Understanding閱讀筆記
- 9. 文獻閱讀：Improving neural networks by preventing co-adaptation of feature detectors
- 10. Generative Adversarial Networks: An Overview文獻閱讀筆記