3 ms·
Neural networks are no more like compressed data than a Huffman tree, or frequency counts of letters, or the weights of a linear model, or even a sample average
by mr_toad 3y ago
Neural networks are no more like compressed data than a Huffman tree, or frequency counts of letters, or the weights of a linear model, or even a sample average.
You can use them to build a compression algorithm (and people have), but they are not compressed data.
- comex 3y agoNeural networks can repeat significant amounts of their training data verbatim or near-verbatim. None of the other things you mentioned are capable of doing that. They don’t store nearly enough information.