Making Super-wide AI Networks Understandable

This podcast was created entirely by AI and based on the following research paper: Title: Scaling Limits of Wide Neural Networks with Weight Sharing: Gaussian Process Behavior, Gradient Independence, and Neural Tangent Kernel DerivationSource: arXivAuthors: Greg YangPublished Date: 2020-04-04Visit www.paper2podcast.com to download the full paper and learn more. Thanks for listening!