Evaluating models without test data
Podcast: Practical AIPublished On: Tue Sep 20 2022
Description: 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.Join the discussionChangelog++ members support our work, get closer to the metal, and make the ads disappear. Join today!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)Something missing or broken? PRs welcome! ★ Support this podcast ★
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