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	Podcast:		Practical AI
	Episode:		Evaluating models without test data
	Category:		Technology
	Duration:		00:44:55
	Publish Date:		2022-09-20 19:20:00
	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. Discuss on Changelog News Changelog++ members support our work, get closer to the metal, and make the ads disappear. Join today! Featuring Charles Martin – Twitter, GitHub, LinkedIn Chris Benson – Twitter, GitHub, LinkedIn, Website Daniel Whitenack – Twitter, GitHub, Website Notes and Links WeightWatcher Talk from the Silicon Valley ACM meetup A deep dive into the theory behind WeightWatcher (a talk from ENS) Something missing or broken? PRs welcome!
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