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</html><description>Description: The skip connection is a fundamental concept in the design of deep neural networks. It refers to a shortcut connection that allows information to bypass one or more layers in the network, thus facilitating data flow and improving learning efficiency. This approach is particularly useful for mitigating the vanishing gradient problem, a phenomenon that [&hellip;]</description></oembed>
