Explain me, pease why are they Residual (skipping main layers) and why are they used at all?

[image] Residual layers explained Convolutional Neural Networks Hi! I’m wondering what is the point of the residual layers. If a[l] is equal to a[l+2] then what is the purpose of those layers? Why not just connect the output of layer l with the input of layer l+2. Thank …

so, why are they specially in our transformers? And how to detect that diminishing/exploding gradients can be really good fixed by skipping layers? Also, do I understand correct, that this process is enough optional for transformers?

Understanding of Add & Normal layer

Course Q&A Natural Language Processing NLP with Attention Models

gent.spah June 26, 2023, 8:25am 2

This is one link for that, but there are many other posts like this.

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Understanding of Add & Normal layer

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