I'd love to play around with this dataset! It certainly seems richer than MNIST, and would most likely force the network to extract more features. But just lik

I'd love to play around with this dataset! It certainly seems richer than MNIST, and would most likely force the network to extract more features. But just like MNIST, it seems to lack variety in the positioning of the important elements, they are all centered which means that they don't train the network in being translation invariant. I presume this issue can be tackled with data augmentation techniques like applying affine transformations.