  The NOvA experiment is a long-baseline neutrino oscillation experiment
designed to measure the rates of electron neutrino appearance and muon neutrino
disappearance. The NOvA near detector is located at Fermilab, 800 m from the
primary target and provides an excellent platform to measure and study
neutrino-nucleus interactions. We present the status of the measurement of the
double differential cross section with respect to muon kinematics for
interactions involving charged pions in the final state, $\nu_{\mu} + N
\rightarrow \mu + \pi^{+/-} + X$. We have derived a convolutional neural
network-based approach for the identification of neutrino interactions with the
specific final state topology. We present event classification efficiency
studies using this particle identification and classification methodology,
along with systematic uncertainties and prospects for the measurement.
