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Well, yeah, but the training process means that the compression is both lossy and much less efficient than a standard compression method like gzip. You could ev
by CGamesPlay 3y ago
Well, yeah, but the training process means that the compression is both lossy and much less efficient than a standard compression method like gzip. You could even train your NN on its ability to losslessly recall, but we generally call that "overfitting" in the lingo.
- CodesInChaos 3y agoThe way you'd do compression using a NN, is using the NN to predict the probability of the next symbol, and feeding that into an arithmetic coder to produce a compressed representation. This process is lossless, and better prediction quality directly translates into better compression.