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在数据预处理时,我们应该用源数据的平均值和标准差来初始化吗? #11
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For PyTorch you need to pass the mean and std dev of the training set as input arguments. Then "normalize" does the following: input = (input-mean)/std, so that the training data after normalisation will have zero mean and standard dev of 1. From page 10 of the book: |
或者是将其归一化到均值为0,方差为1?如果按照源数据的平均值和标准差来归一化的话输入数据和原来的数据会有什么区别呢?
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