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All machine learning is just renormalization which in turn is a convolution in Hopf algebra. That's why you see superposition "In physics, wherever there is a
by adamnemecek 3y ago
All machine learning is just renormalization which in turn is a convolution in Hopf algebra. That's why you see superposition
"In physics, wherever there is a linear system with a "superposition principle", a convolution operation makes an appearance."
I'm working this out in more details but it is uncanny how much it works out.
I have a discord if you want to discuss this further
https://discord.cofunctional.ai https://discord.cofunctional.ai
- esafak 3y agoDo you mean all ML or just large neural networks? Where is renormalization in a tree model? What superposition are you referring to?
- adamnemecek 3y agoRenormalization is all about this symmetric partitioning.
- LeonigMig 3y agoI suppose we should be cautious, the human mind is capable of overfitting too
- adamnemecek 3y agoYou have no clue what you are talking about.