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目前计算机视觉卷积神经网络任务中大多都会使用BatchNormalization，用来归一化数据，保持训练的稳定性，这一方法是非常有效的。但是BN也带来了额外的不小的计算开销、模型训练和推理时的行为差异和打破了小批量样本之间的独立性的问题。为此，DeppMind提出了构建Normal Free的模型，用StdConv代替普通的CNN，实现稳定训练和优异的性能。

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