U tweetove putem weba ili aplikacija drugih proizvođača možete dodati podatke o lokaciji, kao što su grad ili točna lokacija. Povijest lokacija tweetova uvijek možete izbrisati. Saznajte više
I was recently wondering about sth similar: you can probably just count the number of pixels (i.e., just do a sum over the pixel values) to classify MNIST images with ~50% accuracy, which isn't too bad.
Actually, we have tried that 
You only get 20% accuracy. Zip compression indeed performs significantly better.
If you scroll down in the Jupyter Notebook, you can see results for summing on both binarized MNIST and vanilla MNIST.
https://github.com/BlackHC/mnist_by_zip/blob/master/MNIST_by_zip.ipynb …
You can get 45% accuracy on binarized MNIST using class-wise compression and counting bits 
No 