Post
Topic
Board Development & Technical Discussion
Re: Neural Networks and Secp256k1
by
j2002ba2
on 15/05/2021, 12:46:43 UTC
NNs can capture very hard dependecies, depends on type and number of hidden layers.

https://www.sciencedirect.com/science/article/pii/S0895717707000362

You wish, but the reality says no.

In the paper they look at 14, 20, and 32 bit elliptic curves. The corresponding weights storage is 213, 213.5, 214.2. Theoretically the storage would be in the order of 27, 210, and 216. So all looks good, no breakthrough.

To even learn the secp256k1 weights you'd need at least 2128 examples. Good luck executing that.