Lots of issues with MNIST, but most of all, it is really not representative of CV tasks. Please at least try CIFAR10, of comparable size.https://twitter.com/goodfellow_ian/status/852591106655043584 …
Many good ideas will not work well on MNIST (e.g. batch norm). Inversely many bad ideas may work on MNIST and no transfer to real CV.
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Besides, MNIST cannot serve as a benchmark to compare different ideas. But I suspect that's why people love it so much. Competing is hard.
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On real datasets, you often need state-of-the-art results to prove your approach (which is unfortunate IMO). On MNIST, you don't have to.
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