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Evaluating models without test data

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Content provided by Changelog Media. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Changelog Media or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://ro.player.fm/legal.

WeightWatcher, created by Charles Martin, is an open source diagnostic tool for analyzing Neural Networks without training or even test data! Charles joins us in this episode to discuss the tool and how it fills certain gaps in current model evaluation workflows. Along the way, we discuss statistical methods from physics and a variety of practical ways to modify your training runs.

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268 episoade

Artwork
iconDistribuie
 
Manage episode 341728002 series 2385063
Content provided by Changelog Media. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Changelog Media or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://ro.player.fm/legal.

WeightWatcher, created by Charles Martin, is an open source diagnostic tool for analyzing Neural Networks without training or even test data! Charles joins us in this episode to discuss the tool and how it fills certain gaps in current model evaluation workflows. Along the way, we discuss statistical methods from physics and a variety of practical ways to modify your training runs.

Leave us a comment

Changelog++ members support our work, get closer to the metal, and make the ads disappear. Join today!

Featuring:

Show Notes:

Something missing or broken? PRs welcome!

  continue reading

268 episoade

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