WeightWatcher is based on theoretical research (done injoint with UC Berkeley) into Why Deep Learning Works, based on our Theory of Heavy Tailed Self-Regularization (HT-SR). It uses ideas from Random Matrix Theory (RMT), Statistical Mechanics, and Strongly Correlated Systems.
Check out the full article at KDNuggets.com website
Is Your Model Overtained?
Check out the full article at KDNuggets.com website
Is Your Model Overtained?
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