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In most cases it won't regurgitate the same training data. What happens is the model essentially models a full on continuous curve that best fits in-between the
by corethree 3y ago
In most cases it won't regurgitate the same training data. What happens is the model essentially models a full on continuous curve that best fits in-between the training data. The amount of points on that curve is 9999999x more then the training data and that 999999 is not an exaggeration. It's likely too small of a number.
- snovv_crash 3y agoI disagree, the size of the models are a lot smaller than the training data. Just because I make an algorithm that linearly interpolates between two (copyrighted) values doesn't mean that it is creative or holds the wisdom between them.