Fair, you can use the same architecture just fine instead of simple NNs. It’s really a distinction between what’s your choice of universal function approximator vs what goal you optimise it against I guess.
Fair, you can use the same architecture just fine instead of simple NNs. It’s really a distinction between what’s your choice of universal function approximator vs what goal you optimise it against I guess.