Dropout
![]() | 此條 |
Dropout
![]() | 這是 |
參考 文獻
[- ^ 1.0 1.1 [1],「System and method for addressing overfitting in a neural network」 (
頁 面 存 檔備份,存 於互聯網 檔案館 )存 档副本 . [2019-12-11].原始 內容存 檔於2021-07-25. - ^ Dropout: A Simple Way to Prevent Neural Networks from Overfitting. Jmlr.org. [July 26, 2015]. (
原始 內容存 檔於2019-12-05).參 數 |newspaper=
與 模 板 {{cite web}}
不 匹 配 (建議 改 用 {{cite news}}
或 |website=
) (幫助) - ^ Warde-Farley, David; Goodfellow, Ian J.; Courville, Aaron; Bengio, Yoshua. An empirical analysis of dropout in piecewise linear networks. 2013-12-20. arXiv:1312.6197
[stat.ML].
- ^ Hinton, Geoffrey E.; Srivastava, Nitish; Krizhevsky, Alex; Sutskever, Ilya; Salakhutdinov, Ruslan R. Improving neural networks by preventing co-adaptation of feature detectors. 2012. arXiv:1207.0580
[cs.NE].