Episode Details

Back to Episodes

Making Super-wide AI Networks Understandable

Episode 51 Published 2 years, 10 months ago
Description

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 Derivation
  • Source: arXiv
  • Authors: Greg Yang
  • Published Date: 2020-04-04

Visit www.paper2podcast.com to download the full paper and learn more. Thanks for listening!

Listen Now

Love PodBriefly?

If you like Podbriefly.com, please consider donating to support the ongoing development.

Support Us