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Improve Generalization Ability of Deep Wide Residual Network with A Suitable Scaling Factor
Deep Residual Neural Networks (ResNets) have demonstrated remarkable success across a wide range of real-world applications.
Generalization Ability of Wide Residual Networks
This uniform convergence further guarantees that the generalization error of the residual network converges to that of the kernel regression with respect to the RNTK.
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