# 从PyTorch官方文档看多通道卷积

Applies a 2D convolution over an input signal composed of several input planes.

In the simplest case, the output value of the layer with input size (?,?in,?,?)and output (?,?out,?out,?out)can be precisely described as :

where ⋆ is the valid 2D cross-correlation operator, N is a batch size, C denotes a number of channels, H is a height of input planes in pixels, and W is width in pixels.

（?进入小程序 动手训模型）

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