  We have searched for weak fast radio burst (FRB) events using a database
containing 568,736,756 transient events detected using the Parkes radio
telescope between 1997 and 2001. In order to classify these pulses, and to
identify likely FRB candidates, we used a machine learning algorithm based on
ResNet. We identified 81 new candidate FRBs and provide details of their
positions, event times, and dispersion measures. These events were detected in
only one beam of the Parkes multibeam receiver. We used a relatively low S/N
cutoff threshold when selecting these bursts and some have dispersion measures
only slightly exceeding the expected Galactic contribution. We therefore
present these candidate FRBs as a guide for follow-up observations in the
search for repeating FRBs.
