Question: Imagine that you have a MLP network where each Linear layer is followed by a Batch Norm layer. Do you need the bias term in
Imagine that you have a MLP network where each Linear layer is followed by a Batch Norm layer. Do you need the bias term in each Linear layer? Prove that it is unnecessary. Thus, prove that if you fit a model where the layer is specified with nn.Linear(..., bias = F alse) no information is lost, the bias adds nothing and you can specify this. This is one effect of using Batch Norm
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