What I Read: First-Principles Theory of Neural Network Generalization

Posted on 2021-11-17 :: Tags: machine learning, neural network, kernel, generalization, gradient descent, Gaussian process, support vector machine

https://natluk.net/a-first-principles-theory-of-neuralnetwork-generalization-the-berkeley-artificial-intelligence-research-blog/
A First-Principles Theory of Neural Network Generalization – The Berkeley Artificial Intelligence Research Blog
NatLuk Community
25 October 2021
“Perhaps the greatest of these mysteries has been the question of generalization: why do the functions learned by neural networks generalize so well to unseen data?”