Evaluating models without test data - Changelog Master Fe...

What this episode covers

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.Featuring:Charles Martin – GitHub, LinkedIn, XChris Benson – Website, GitHub, LinkedIn, XDaniel Whitenack – Website, GitHub, XShow Notes:WeightWatcherTalk from the Silicon Valley ACM meetupA deep dive into the theory behind WeightWatcher (a talk from ENS)Upcoming Events: Register for upcoming webinars here!

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How long is this episode of Changelog Master Feed?

This episode is 44 minutes long.

When was this Changelog Master Feed episode published?

This episode was published on September 20, 2022.

What is this episode about?

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...

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Yes, a full transcript is available for this episode. You can read the complete transcript on the episode page.

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