2 ms·
We already do this. Prediction is formally equivalent to compression, so loss is just a measure of how well you can compress the training dataset.
by Legend2440 1y ago
We already do this.
Prediction is formally equivalent to compression, so loss is just a measure of how well you can compress the training dataset.
- amelius 1y agoIn a sense, yes. But that's compression of an input/output map, not arbitrary information. Also, it is not lossless.