  NOvA is a long-baseline neutrino oscillation experiment. It uses the NuMI
beam from Fermilab and two sampling calorimeter detectors placed off-axis from
the beam. The 293 ton Near Detector measures the unoscillated neutrino energy
spectrum, which can be used to predict the neutrino energy spectrum observed at
the 14 kton Far Detector. The Near Detector also provides an excellent
opportunity to measure neutrino interaction cross sections with high
statistics, which will benefit current and future long-baseline neutrino
oscillation experiments. This analysis implements new algorithms to identify
$\nu_{\mu}$ charge-current events by using visual deep learning tools such as
convolutional neural networks. We present the status of a measurement of the
inclusive $\nu_{\mu}$ CC cross section in the NOvA Near Detector.
