This is a cool way to build highly specific prior knowledge into neural nets: via highly specific loss functions https://arxiv.org/abs/1609.05566 Don’t just maximize likelihood of the data or predict the next frame—build all the constraints you can know into the loss and make NN satisfy.
-
-
When one speculates about brain as some kind of DL type system, it does not mean having architecture or loss function similar to current systems: to me, it means a) powerful optimization alg. on during organism lifetime + b) many highly specific evolved loss fxn recipes like this
Show this threadThanks. Twitter will use this to make your timeline better. UndoUndo
-
Loading seems to be taking a while.
Twitter may be over capacity or experiencing a momentary hiccup. Try again or visit Twitter Status for more information.