Machine Learning, Neural Network Algorithm, Differential Equations.
𝛳(t)) can represent variable layer depth, meaning a 34 layer ResNet can perform like a 5 layer network or a 30 layer network. Thus ResNets can learn their optimal depth, starting the training process with a few layers and adding more as weights converge, mitigating gradient problems. Thus the