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Glossary: Deep Learning Basics

Parameters

Also written: parameter, weights, model.parameters()

A model's learned numbers: its weights and biases. Count them with `sum(p.numel() for p in model.parameters())`, since a model with far more parameters than examples can memorize them.

Where the book teaches it

Related terms

BiasOverfitting