Evaluating models without test data (Practical AI #194) episode artwork

EPISODE · Sep 20, 2022 · 44 MIN

Evaluating models without test data (Practical AI #194)

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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.

Episode metadata supplied by the publisher feed · Published Sep 20, 2022

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Evaluating models without test data (Practical AI #194)

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