How to save a convnet checkpoint with batchNormalizationLayer

I found trainMean and trainVariance of the batchnormalizationLayer are both empty for convnet_checkpoints saved using trainNet and trainOption('CheckpointPath', 'somepath'). This brings the problem that when I try to calculated validation error from a saved checkpoint, it will give the error saying the network is not trained.
Is there some way to set the trainOption so that trainMean and trainVariance will be saved?

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도움말 센터File Exchange에서 Deep Learning Toolbox에 대해 자세히 알아보기

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2017년 11월 1일

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