I was reading about resnet at this link. This link and others say that residual block skips 1-layer, but then all of them show a diagram where there is an additional weight layer (i think it can be also called conv layer) that seems to be skipped beyond just weight+relu of the skipped layer. In this diagram taken from above link, you can see the input x to the block is fed after the 2nd weight layer not before that.
Why is that when the diagram is talking about only skipping 1-layer, it's showing skip-connection after relu? Isn't that part of the second conv+relu layer?
I've seen the input/output feature map used. Is the input feature map same as what is shown by 'x'?
isn't weight layer mean the same thing as performing conv using a filter?