> ... sardines in a can ... Better analogy: suppose you take 10 pieces of A4 paper and scrunch them up into 10 separate balls. Now suppose you scrunch them all up together into one ball. One manifold, taking ten times…
It doesn't compress each image separately. Rather, it compresses its entire training set into one dense region of cartesian space. Each pixel of each training image is in there, scurnched up next to every other pixel of…
> ... sardines in a can ... Better analogy: suppose you take 10 pieces of A4 paper and scrunch them up into 10 separate balls. Now suppose you scrunch them all up together into one ball. One manifold, taking ten times…
It doesn't compress each image separately. Rather, it compresses its entire training set into one dense region of cartesian space. Each pixel of each training image is in there, scurnched up next to every other pixel of…