Re:Neural networks as non-leaky mathematical abstraction
by jefft255 on Monday December 23, 2019 @02:30PM
(#21866480)
You can have finite sum of infinite dimensional vectors, this still works...
Re:Neural networks as non-leaky mathematical abstraction
by throwlaplace on Monday December 23, 2019 @02:35PM
(#21866535)
The sum has to be finite
you're wrong. every "weird" technical hypothesis in a theorem is a leak. even in your super simple example there's a caveat: the sum has to be finite (that mean no you can't perform any sum of any set of vectors).
edit: i got downvoted so here's a better example that i just ran across: manifolds with boundary can have empty boundaries. where does this come up? exact 1-forms on S^1 integrate to zero. why? because by Stokes. how? S^1 has a boundary but it's empty.