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The ResNet architecture introduced what specific structural component, also known as skip connections, to allow for the training of extremely deep networks?

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Residual connections

Also known as skip connections, these allow the gradient to bypass one or more layers, flowing directly through the identity mapping. This helps mitigate the vanishing gradient problem in networks with over a hundred layers.

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  • What structural feature of ResNet architectures allows gradients to bypass layers via an identity mapping?

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