> Deep neural network (DNN) is an indispensable machine learning tool for achieving human-level performance on many learning tasks.
Not to be pedantic, but words matter. Is anyone actually claiming that deep learning achieves true “human-level performance” on any real world open-ended learning task?
Even the most state of the art computer vision/object classification algorithms still don’t generalize to weird input, like familiar objects presented at odd angles.
I get that the author is trying to write something motivating and inspirational, but it feels like claiming “near” or “quasi”-human performance, with disclaimers, would be a more intellectually honest way to introduce the subject.
> Deep neural network (DNN) is an indispensable machine learning tool for achieving human-level performance on many learning tasks.
Not to be pedantic, but words matter. Is anyone actually claiming that deep learning achieves true “human-level performance” on any real world open-ended learning task?
Even the most state of the art computer vision/object classification algorithms still don’t generalize to weird input, like familiar objects presented at odd angles.
I get that the author is trying to write something motivating and inspirational, but it feels like claiming “near” or “quasi”-human performance, with disclaimers, would be a more intellectually honest way to introduce the subject.