  We investigate the use of deep learning in the context of X-ray polarization
detection from astrophysical sources as will be observed by the Imaging X-ray
Polarimetry Explorer (IXPE), a future NASA selected space-based mission
expected to be operative in 2021. In particular, we propose two models that can
be used to estimate the impact point as well as the polarization direction of
the incoming radiation. The results obtained show that data-driven approaches
depict a promising alternative to the existing analytical approaches. We also
discuss problems and challenges to be addressed in the near future.
