overtrain
「overtrain」的意思
vi. 训练过度（而吃不消）; vt. 使训练过度
v.(使)训练过度
「overtrain」的用法
overtrain过度训练 - 在机器学习中，过度训练是指模型在训练数据上表现良好，但在未见过的数据上表现不佳的情况。
「overtrain」的例句
Overtraining can lead to poor generalization.
过度训练可能导致泛化能力差。
The model was overtrained on the training set.
模型在训练集上过度训练了。
Avoid overtraining by using techniques like cross-validation.
通过使用交叉验证等技术避免过度训练。
Overtraining can result in a model that is too complex.
过度训练可能导致模型过于复杂。
Regularization techniques can help prevent overtraining.
正则化技术可以帮助防止过度训练。
It's important to monitor for signs of overtraining during training.
在训练过程中要密切关注过度训练的迹象。
Overtraining can cause the model to memorize the training data rather than learn from it.
过度训练可能导致模型记住训练数据而不是从中学习。
Using a smaller dataset can help prevent overtraining.
使用较小的数据集可以帮助防止过度训练。
Early stopping is a method to prevent overtraining by stopping the training process when performance on a validation set starts to degrade.
'早停法'是一种防止过度训练的方法，在验证集上的性能开始下降时停止训练过程。
Overfitting and underfitting are two common issues in machine learning, and overtraining is one aspect of overfitting.
过拟合和欠拟合是机器学习中的两个常见问题，而过度训练是过拟合的一个方面。