Deep Learning
Overview A valid (less wrong) intuitive metaphor is that we “learn” a “surface” which will match (will cover, up to the last wrinkle) the whole actual Himalaya. This notion “generalizes to any number of dimensions” meme (differences, distances and derivatives do not care about Mind’s abstract bullshit) The Himalayas (Truth) has to be “out there”. A good generalization is a bucket-sort, which can be thought off as a specific example of a classification problem....