Brains, Sex, and Machine Learning

all of these architectures are sharing the same weights, which is regularizing them a lot.

that's not the same as running all possible nets through an averaging them, taking the geometric mean.

do something that's generally helpful. That will cause you to do something different from what they're doing, but not relying

pick a task at random, and this will

That means these nets ought to be very good in genetic algorithms