Comments (2)
The i here is counted from 0, so when i=4, it refers to the fifth layer of activation layer, which is consistent with the version of the paper and tensorflow
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The i here is counted from 0, so when i=4, it refers to the fifth layer of activation layer, which is consistent with the version of the paper and tensorflow
Thank you I got it!
Actually I know that i is counted from 0, but I mistook some basic concepts.
The input is concatenated to the 5th layer's output instead of input, so it's a part of the 6th layer's input.
I think maybe it's time for me to reveal some basic but important concepts for deep learning haha.
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