ResNets created major improvements in accuracy in many computer vision tasks. Deep Residual Learning for image recognition was published in 2015. Problem Adding more layers leads to the model’s accuracy saturating, then rapidly decaying, and higher training errors — the degradation problem. Driven by the significance of network depth, a question…
