braised_babbage

24 ms·

1. 1.▲
   by braised_babbage 4y ago

   There are many evaluation strategies for tensor contractions; naively translating into nested for loops and then doing direct random-access arithmetic is just one approach. If you like numpy's einsum, a drop in replacement is https:&#
2. 2.▲
   by braised_babbage 7y ago

   So in this metaphor, the "Extended Church-Turing Hypothesis" is the belief that there is no haybale?
3. 3.▲
   Factoring may be easier than we think (2016)(math.mit.edu)

   175 points by braised_babbage 7y ago|169 comments
4. 4.▲
   by braised_babbage 7y ago

   This is, strictly speaking, not true. Talking about an "orthonormal" basis implies that you have in mind some Hilbert space; but in any such instance there will be interesting functions that are not in this Hilbert space. So consi
5. 5.▲
   by braised_babbage 7y ago

   One of the things about continuous functions is that they aren't necessarily differentiable, cf. https://en.wikipedia.org/wiki/Weierstrass_function
6. 6.▲
   by braised_babbage 7y ago

   No, neural networks cannot "represent any arbitrary function". Find a theorem that you think states otherwise, and then read what the theorem actually states.