  This paper first constructs a typical solution of ResNets for multi-category
classifications by the principle of gate-network controls and deep-layer
classifications, from which a general interpretation of the ResNet architecture
is given and the performance mechanism is explained. We then use more solutions
to further demonstrate the generality of that interpretation. The
universal-approximation capability of ResNets is proved.
