What Uncertainties Do We Need in Bayesian Deep Learning for Computer Vision?
本文轉自：http://blog.csdn.net/weixin_39779106/article/details/78968982 原論文鏈接 一、摘要： 二、介紹： 創新點： 三、相關工作： 1. 在貝葉斯深度學習中如何對認知不確定性進行建模： 2. 異方差的偶然不確定性計算 四、將兩種不確定性在同一模型中進行結合 1.將異方差偶然不確定性和認知不確定性相結合 2.將異方差不確定性作爲學習損失
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相關文章
- 1. Deep Learning for Computer Vision with Python.
- 2. What Uncertainties Do We Need in Bayesian Deep Learning for Computer Vision? 計算機視覺用於貝葉斯深度學習的不肯定性
- 3. What Uncertainties Do We Need in Bayesian Deep Learning for Computer Vision? 計算機視覺用於貝葉斯深度學習的不確定性
- 4. 備忘錄——Deep Learning Is Not Good Enough, We Need Bayesian Deep Learning for Safe AI筆記
- 5. Deep Learning for Computer Vision With Python__Introduction
- 6. What are some good books/papers for learning deep learning?
- 7. 論文閱讀——AdderNet: Do We Really Need Multiplications in Deep Learning?
- 8. 論文閱讀：Do We Really Need Multiplications in Deep Learning?
- 9. Addernet學習筆記 --- AdderNet: Do We Really Need Multiplications in Deep Learning?
- 10. 論文筆記：AdderNet: Do We Really Need Multiplications in Deep Learning?