DeepPass -- Finding Passwords With Deep Learning

This is definitely more manageable, with 723 false positives out of 400,000 balanced input words. False positives and false negatives are intrinsically linked, and reducing one will increase the other. Using class weighting to reduce false positives here means that false negatives, or potential passwords we miss, will increase! However I felt that this tradeoff was necessary for the approach to hope to be usable.