  Non-Hermitian systems with mirror symmetry may exhibit mirror skin effect
which is the extreme sensitivity of the spectrum and eigenstates on the
boundary condition due to the non-Hermitian topology protected by mirror
symmetry. In this paper, we report that the mirror skin effect survives even
against disorder which breaks the mirror symmetry. Specifically, we demonstrate
the robustness of the skin effect by employing the neural network which
systematically predicts the presence/absence of the skin modes, a large number
of localized states around the edge. The trained neural network detects skin
effects in high accuracy, which allows us to obtain the phase diagram. We also
calculate the probability by the neural network for each of states. The above
results are also confirmed by calculating the inverse participation ratio.
