That's the premise of deep learning - inducing high level concepts from experience, without manual feature engineering.
DL models are good at induction, what they can't handle is generalisation (being accurate outside of distribution). And self driving has a long tail, that's why it's so hard.
That's the premise of deep learning - inducing high level concepts from experience, without manual feature engineering.
DL models are good at induction, what they can't handle is generalisation (being accurate outside of distribution). And self driving has a long tail, that's why it's so hard.