Are there some documented and testable examples of fraud and anomaly detection via deep learning? I'm asking from being able to play around / learn more about this domain.
A lot of it is actually our customers. We've been covering that kind of R&D ourselves. That's the fun of being able to look at applications outside of the google,fb hype.
Thats interesting. Would you recommend any learning material for the fraud/anamoly detection using deep learning? Any available datasets one can play with?
