AI & machine learning2019 · shared on Hacker News
Neural Tangent Kernel: Convergence and Generalization in Neural Networks
Explore Neural Tangent Kernel: Convergence and Generalization in Neural Networks, its original source and Hacker News discussions. Discover community perspectives and save it to your reading list.
GO BEYOND THE ABSTRACT
The conversation around the idea.
Original Hacker News threads. Different perspectives, questions, and things worth thinking about.
Showing up to 100 related threads. A paper may appear in a comment rather than the original submission.
Links found in the discussion
Up to 50 recent source links, in HN item order.
Yscottlocklin ·
Every Model Learned by Gradient Descent Is Approximately a Kernel Machine
406 points107 comments
Yaflip ·
Ask HN: What things are happening in ML that we can't hear over the din of LLMs?
364 points99 comments
Ytmfi ·
Understanding deep learning requires rethinking generalization
165 points40 comments
Ydilap ·
Gradient Descent Models Are Kernel Machines
161 points50 comments
Ygyang ·
Wide Neural Networks of Any Architecture Are Gaussian Processes
144 points34 comments
Ybenibraz ·
Cellular Automata as Convolutional Neural Networks
87 points14 comments
YDreamGen ·
Transformers Are Multi-State RNNs
41 points9 comments
Yheadalgorithm ·
Neural Tangent Kernel: Convergence and Generalization in Neural Networks
3 points0 comments