  The Fermi-LAT DR1 and DR2 4FGL catalogues feature more than 5000 gamma-ray
sources of which about one fourth are not associated with already known
objects, and approximately one third are associated with blazars of uncertain
nature. We perform a three-category classification of the 4FGL DR1 and DR2
sources independently, using an ensemble of Artificial Neural Networks (ANNs)
to characterise them based on the likelihood of being a Pulsar (PSR), a BL Lac
type blazar (BLL) or a Flat Spectrum Radio Quasar (FSRQ). We identify candidate
PSR, BLL and FSRQ among the unassociated sources with approximate equipartition
among the three categories and select ten classification outliers as
potentially interesting for follow up studies.
