Fix convolution for non-square kernels #3376
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In #3365, @AllIAskOfYou reported that simple convolutional networks fail for non-square kernels. It turns out the reason for this is that when we rotate an
MxNkernel for the backwards pass, we mistakenly attempt to put it into anNxMmatrix, which fails. My guess is that this was just a simple mix-up: rotating 90 degrees would transpose the result, but 180 does not (and we are doing 180). Anyway, the fix is very nice and easy. :)