\begin{document}$ \eta_0=-0.193^{+0.021}_{-0.019} $\end{document} and \begin{document}$ \eta_0=-0.247^{+0.014}_{-0.013} $\end{document}, respectively. In the power-law model, however, the DDR is verified within a 1σ confidence level, with the violation parameter \begin{document}$ \eta_0=-0.014^{+0.053}_{-0.045} $\end{document}. Our results demonstrate that the constraints on the DDR strongly depend on the lens mass models. Given a specific lens mass model, the DDR can be constrained at a precision of \begin{document}$O(10^{-2}) $\end{document} using deep learning."> Deep learning method for testing the cosmic distance duality relation -
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