What's the meaning of the bias?

In convolution, nn.Conv2d(in_channels, out_channels, kernel_size=3, stride=stride, padding=1, bias=False)
What’s the meaning of the bias?

The bias is an additive parameter in the convolution.
It’s like the b in f(x) = w*x + b. If you set bias=False, you will drop the b term, which might make sense in some cases, e.g. if the next layer is an affine BatchNorm layer.
Each kernel has an own bias term.

However, I think the concept is way better described in Stanford’s CS231n.

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