博客指出在模型训练中，成本下降表明参数在学习，可在训练集上进一步训练模型。增加迭代次数，训练集准确率可能上升，但测试集准确率会下降，这种现象被称为过拟合。
Interpretation: You can see the cost decreasing. It shows that the parameters are being learned. However, you see that you could train the model even more on the training set. Try to increase the number of iterations in the cell above and rerun the cells. You might see that the training set accuracy goes up, but the test set accuracy goes down. This is called overfitting.
过拟合概念
最新推荐文章于 2022-08-19 22:34:53 发布
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