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训练集的由于数据量比较多,在归一化时接近真实分布的均值和方差,但是测试集样本量比较少,这样计算的测试集的均值和方差肯定会有误差的。但是我对整体归一化的效果并没有分开归一化的效果好,能请教一下原因吗?
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你好,我也有这个疑惑,请问你解决了吗?
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训练集的由于数据量比较多,在归一化时接近真实分布的均值和方差,但是测试集样本量比较少,这样计算的测试集的均值和方差肯定会有误差的。但是我对整体归一化的效果并没有分开归一化的效果好,能请教一下原因吗?
The text was updated successfully, but these errors were encountered: