4 ms·
MNIST is really easy, it's not a useful benchmark any more.
by sweezyjeezy 11y ago
MNIST is really easy, it's not a useful benchmark any more.
- murbard2 11y agoSure, but the fact that you get state of the art result without a convolutional prior ought to at least support the argument that the prior is not necessary
- sweezyjeezy 11y agoYou can get something like 5% error rate on MNIST with a well tuned linear classifier, it's not comparable with ImageNet. Note that the computer vision techniques used before convnets used things like SIFT features, which are another way of imposing a (sort-of) prior. I do believe that some sort of strong prior is necessary for the problem.