《Human-level concept learning through probabilistic program induction》閱讀筆記
花了一週多的時間讀了一篇論文《Human-level concept learning through probabilistic program induction》（《通過概率規劃歸納進行類人概念學習》），這是15年12月science的一篇封面文章，主要解決了小樣本情況下的計算機學習問題。第一次讀論文，而且是英文論文還是有點吃力，參考了很多其他的博客和新聞評論，自己也總結出了一
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相關文章
- 1. 【轉載】 《Human-level concept learning through probabilistic program induction》閱讀筆記
- 2. Human-level concept learning through probabilistic program induction.
- 3. Human-level concept learning through probabilistic program induction 中文翻譯
- 4. Human-level concept learning through probabilistic program induction代碼驗證
- 5. 論文閱讀筆記《Deep Meta-Learning: Learning to Learn in the Concept Space》
- 6. A Neural Probabilistic Language Model ------閱讀筆記
- 7. 論文閱讀筆記之《Learning Deep Correspondence through Prior and Posterior Feature Constancy》
- 8. 論文閱讀筆記《Few-Shot Learning Through an Information Retrieval Lens》
- 9. 論文閱讀筆記《Learning for Disparity Estimation through Feature Constancy》
- 10. 【論文閱讀筆記】Learning Efficient Convolutional Networks through Network Slimming