zero convolution作用

zero convolution是一种特殊的卷积操作，其作用是在神经网络中引入一些额外的参数来增加网络的表达能力。通过将输入数据与零卷积的参数进行卷积运算，可以在网络中引入一些额外的非线性变换。这种操作可以帮助网络更好地适应不同的输入数据，并提高网络的性能。\[1\]
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