See also: Oriented Response Networks https://arxiv.org/abs/1701.01833
On Wed, Feb 28, 2018 at 11:40 AM, Jonathan Roy wrote:
> I'm curious if anyone has applied this idea in their Go software, and what
> results you obtained? It is a way to make rotations (and transpositions
> with more effort) g
>
> To follow up on the paper I listed earlier I just found this link with a
> long list of related papers:
>
> http://www.arxiv-sanity.com/1705.08623v1
>
> Many from 2016-2018 and all dealing with neural networks and ways to solve
> rotation. Deep Rotation Equivariant Network (
> http://arxiv.org/
I'm curious if anyone has applied this idea in their Go software, and what
results you obtained? It is a way to make rotations (and transpositions
with more effort) go away as an issue, regardless of the way you input the
board you'd get the same result back out. Short summary from the paper (
http