Loss surface: Revision history

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20 March 2023

  • curprev 11:4211:42, 20 March 2023‎ Walle talk contribs‎ 4,075 bytes +4,075‎ Created page with "{{see also|Machine learning terms}} ==Loss Surface in Machine Learning== In the field of machine learning, the '''loss surface''' (also referred to as the '''error surface''' or the '''objective function surface''') refers to the graphical representation of the relationship between the parameters of a learning model and the associated loss or error. The primary goal of machine learning algorithms is to optimize these parameters, minimizing the loss and consequently e..."
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