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Re:Stanford computer diagnoses breast cancer more accurately... by apu on Friday November 11, 2011 @01:11PM (#3225504)
Not at all! I'd love for vision to be solved, no matter what the method. I'm more than happy to move onto another field if that's the case.

But I don't think it is. MNIST data is not particularly challenging. It's great that deep learning methods work there -- they must be doing something right.

Come back and taunt me when deep learning methods start getting state-of-the-art results on, e.g., Pascal VOC: http://pascallin.ecs.soton.ac.uk/challenges/VOC/

Re:Stanford computer diagnoses breast cancer more accurately... by marshallp on Friday November 11, 2011 @05:53PM (#3226463)
getting best results on the harder vision challenges is simply a matter of let the computers run long enough. Collobert's work for example took 3 months of training. I don't see why vision challenges should any different. Perhaps the vision researchers, of which there are many more people than the few deep learning groups should try it.