《Improving Langugage Understanding by Generative Pre-Tranining》 —— GPT
目錄 《Improving Langugage Understanding by Generative Pre-Tranining》 1、GPT歷史意義 2、無監督預訓練——通過大量未標記語料學習網絡的初始參數 3、Supervised Fine-Tuning 4、Task-specific input transformations 5、實驗結果 5.1 模型結構 5.2 GPT模型在不同任務上
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相關文章
- 1. GPT模型：Improving Language Understanding by Generative Pre-Training
- 2. Improving Language Understanding by Generative Pre-Training閱讀筆記
- 3. 【論文筆記】Improving Language Understanding by Generative Pre-Training
- 4. 文獻閱讀筆記—Improving Language Understanding by Generative Pre-Training
- 5. 深度學習 -- > NLP -- >Improving Language Understanding by Generative Pre-Training
- 6. OpenAI-GPT（Generative Pre-Training）詳解
- 7. OpenAI GPT解讀
- 8. IMPROVING GENERATIVE ADVERSARIAL NETWORKS WITH DENOISING FEATURE MATCHING（Bingio-ICLR2017）
- 9. ELMO BERT GPT
- 10. GAN Dissection: Visualizing and Understanding Generative Adversarial Networks