RBMs and auto-encoders use backprop too. They just use it for "fine tuning" (due to running pre-training first) instead of propagating error derivatives from r

RBMs and auto-encoders use backprop too. They just use it for "fine tuning" (due to running pre-training first) instead of propagating error derivatives from randomly initialized weights. (Thus concludes the smartest thing I've said all day.)