Hacker News new | ask | show | jobs
by darkmighty 4000 days ago
Those training algorithms should accomplish the same goal, but backpropagation (or some variant) turns out to be the best choice for the kind of network shown here (large, non-recurrent), because it directly uses the learning gradient, while evolutionary methods don't usually make use of this information. I'm not a researcher in this area, but I'm quite sure you'd have a bad time going with pure evolutionary methods for this kind of network.