Pytorch Conv2d

參數:
Args:
in_channels (int): Number of channels in the input image
out_channels (int): Number of channels produced by the convolution
kernel_size (int or tuple): Size of the convolving kernel
stride (int or tuple, optional): Stride of the convolution. Default: 1
padding (int or tuple, optional): Zero-padding added to both sides of the input. Default: 0
dilation (int or tuple, optional): Spacing between kernel elements. Default: 1
groups (int, optional): Number of blocked connections from input channels to output channels. Default: 1
bias (bool, optional): If True, adds a learnable bias to the output. Default: True

in_channels (int): 輸入通道
out_channels (int): 輸出通過
kernel_size (int or tuple): 卷積核(濾波器)的大小
stride (int or tuple, optional): 步長,可以是整數,也可以是tuple
padding (int or tuple, optional): 周圍補零Default: 0
dilation (int or tuple, optional): Spacing between kernel elements. Default: 1(不懂)
groups (int, optional): Number of blocked connections from input channels to output channels. Default: 1(不懂)
bias (bool, optional): If True, adds a learnable bias to the output. Default: True(偏差)

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