Evaluating models without test data (Practical AI #194)
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.
Embed this episode
No transcript yet.
Frequently asked questions
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.
Is there a transcript available for this episode?
Yes, a full transcript is available for this episode. You can read the complete transcript on the episode page.
Can I download this Changelog Master Feed episode?
Yes. Use the download control on the episode player to save the publisher-provided media file.