英语单词查询
regularization
「regularization」的意思
n. 规则化；调整；合法化
n.规则化,调整
「regularization」的用法
regularization正则化 - 在机器学习中，正则化是一种技术，用于防止模型过拟合。
「regularization」的例句
Regularization helps in preventing overfitting in machine learning models.
正则化有助于防止机器学习模型过拟合。
One common method of regularization is L2 regularization.
一种常见的正则化方法是L2正则化。
Regularization can also be used to simplify complex models.
正则化还可以用于简化复杂的模型。
In neural networks, dropout is a form of regularization.
在神经网络中，dropout是一种形式的正则化。
Regularization helps in improving the generalization of a model.
正则化有助于提高模型的泛化能力。
It is important to choose the right type of regularization for a given problem.
对于给定的问题，选择合适的正则化类型很重要。
Regularization can help prevent overfitting on small datasets.
正则化可以帮助防止在小数据集上过拟合。
Some forms of regularization include L1 and L2 norms.
一些形式的正则化包括L1和L2范数。
Regularization is a crucial technique in machine learning to avoid overfitting and improve model performance.
正则化是机器学习中避免过拟合并提高模型性能的关键技术。