02/19/2023, 04:16 PM
I don't think I need to repeat again the various difficulties we encountered with the Kneser method of getting very close to base 1 and Shell-Thron-region.
While I was running Stable-diffusion on my GPU to produce pornographic images, something occurred to me:
Why don't we use Neural Networks to facilitate the numerical computation of the Kneser method?
After all, there is already the precedent of AlphaTensor.
I think we have at least two ways to utilize Neural Networks:
1. Putting hope in the Universal approximation theorem, neural networks are simply used as a kind of super Newton method.
2. Is there some parameter of Kneser's method that can speed up the solution/increase the accuracy by guessing an approximation? If so, use a neural network to train out these parameters.
If the topic of neural networks has been discussed on the forum before, please let me know.
Quote:If you need to, click on
https://math.eretrandre.org/tetrationfor...p?tid=1232 -> to Shell-Thron-region and irrational rotation
https://math.eretrandre.org/tetrationfor...65#pid7465 -> to 1
Welcome more additions!
While I was running Stable-diffusion on my GPU to produce pornographic images, something occurred to me:
Why don't we use Neural Networks to facilitate the numerical computation of the Kneser method?
After all, there is already the precedent of AlphaTensor.
I think we have at least two ways to utilize Neural Networks:
1. Putting hope in the Universal approximation theorem, neural networks are simply used as a kind of super Newton method.
2. Is there some parameter of Kneser's method that can speed up the solution/increase the accuracy by guessing an approximation? If so, use a neural network to train out these parameters.
If the topic of neural networks has been discussed on the forum before, please let me know.