05 | Tricks¶
约 74 个字 预计阅读时间不到 1 分钟
正则化 ¶
正则化约束参数的大小
如何验证正则化的大小
dropout¶
Randomly drop units (along with their connections) during training § Each unit is retained with a fixed dropout rate p, independent of other units § The hyper-parameter p needs to be chosen (tuned) o Often, between 20% and 50% of the units are dropped
Early-stopping¶
Batch normalization layers