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Did you know you can classify MNIST using gzip? 
You can get 45% accuracy on binarized MNIST using class-wise compression and counting bits 
No @PyTorch or @TensorFlow needed
BASH script and @scikit_learn classifier 
https://github.com/BlackHC/mnist_by_zip …
“We are uncertain whether this is an appraisal of zip compression or an indictment of the MNIST dataset.”
After 30 years of optimizing on it, the MNIST test set is no longer a test set; it is rather a validation set.
Fair enough, then one can try on EMNIST or https://arxiv.org/abs/1905.10498
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