Plain explanation
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Current learning moveOrient
Clarify a term, inspect evidence, or place an idea in context.
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Plain explanation
Example
During training, a neural network changes many weights so that an image is more likely to be assigned the correct category.Why it matters
Parameter count can indicate scale and resource needs, but it does not by itself tell you what a model knows, how accurate it is, or whether it is safe for a use.Common misunderstanding
Misconception: each parameter stores one human-readable fact. Correction: knowledge and behavior are distributed across interacting numerical values and system components.Sources and scope
Defines learned parameters and related model components; parameter count alone is not a complete capability measure.