Loss function: Revision history

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18 March 2023

  • curprev 13:1913:19, 18 March 2023‎ Walle talk contribs‎ 2,990 bytes +2,990‎ Created page with "{{see also|Machine learning terms}} ==Introduction== In the field of machine learning, a '''loss function''' (also known as a cost function or objective function) is a crucial mathematical formulation that quantifies the difference between the predicted outcome of a model and the actual or desired outcome. Loss functions serve as the basis for optimization, enabling the model to iteratively adjust its parameters to minimize this difference and improve its performance..."
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