5 ms·
you can always make a new vector that's orthogonal to all the ones currently used and see if the inclusion improves performance on your tasks
by moelf 9mo ago
you can always make a new vector that's orthogonal to all the ones currently used and see if the inclusion improves performance on your tasks
- scotty79 9mo ago> see if the inclusion improves performance on your tasks Apparently it doesn't at least not in our models with our training applied to our tasks. So if we expand one of those 3 things and notice that 17-th vector makes a difference then we are having progress.