Driverless cars just got a whole lot harder. This technical paper by @amirrosenfeld raises some profound questions about the robustness of #DeepLearning as a perceptual mechanism. https://t.co/byBdv5Vlra
— Gary Marcus (@GaryMarcus) August 27, 2018
Driverless cars just got a whole lot harder. This technical paper by @amirrosenfeld raises some profound questions about the robustness of #DeepLearning as a perceptual mechanism. https://t.co/byBdv5Vlra
— Gary Marcus (@GaryMarcus) August 27, 2018
And still more trouble for deep learning: “human visual system .... more robust [than deep neural nets] to nearly all of [a dozen] tested image manipulations” https://t.co/LxxL5TmRoz
— Gary Marcus (@GaryMarcus) August 28, 2018
Well @GaryMarcus, why do you think this is a problem with "deep learning" as opposed to a shortcoming in our current deep learning networks? I predict these problems will be completely solved within the DL paradigm.
— Thomas G. Dietterich (@tdietterich) August 28, 2018