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All machine learning is Hopf convolution, analogous to renormalization. This should come as no surprise, renormalization can be modeled via the Ising model whic
by adamnemecek 3y ago
All machine learning is Hopf convolution, analogous to renormalization. This should come as no surprise, renormalization can be modeled via the Ising model which itself is closely related to Hopfield networks which are recurrent networks.
- dbmikus 3y agoDon't know any of these terms, but you gave me some interesting topics to google about. Thanks!
- calf 3y agoThat's an interesting point, are there any resources to learn about this? I have a CS background, in that we generally only cover 1st-year physics and very little theoretical math beyond linear algebra, etc.
- adamnemecek 3y agoThere is some yeah, there is a recent book on deep learning via renormalization https://arxiv.org/pdf/2106.10165.pdf https://arxiv.org/pdf/2106.10165.pdf. I have a discord https://discord.cofunctional.ai https://discord.cofunctional.ai