Model capacity: Revision history

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20 March 2023

  • curprev 11:4311:43, 20 March 2023‎ Walle talk contribs‎ 3,193 bytes +3,193‎ Created page with "{{see also|Machine learning terms}} ==Definition== In the context of machine learning, ''model capacity'' refers to the ability of a model to learn and represent various functions and patterns within a given dataset. High-capacity models have a larger number of parameters and can therefore represent more complex functions, while low-capacity models have fewer parameters and are limited in the complexity of functions they can represent. Model capacity plays a crucial role..."
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