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|Updated = 2024-01-12

|Updated = 2024-01-12

|Updated = 2024-01-12

...se centroids serve as the initial cluster centers, and their positions are updated iteratively as the algorithm proceeds. ...ned to their respective clusters. This step ensures that the centroids are updated to the center of the new clusters formed in the assignment step.

|Updated = 2024-01-12

|Updated = 2024-01-22

|Updated = 2024-01-24

...ed by the target network. The target network's parameters are periodically updated to match the primary Q-network's parameters, ensuring the target Q-values r ...s]] [[Category:Machine learning terms]] [[Category:Not Edited]] [[Category:updated]]

|Updated = 2001-01-19

...is based on the principles of Bayesian inference, where prior knowledge is updated with observed data to make better predictions about the unknown function. B ...arametric models that define a prior distribution over functions, which is updated with observed data to form a posterior distribution.

...n as [[weights]] and represent the strength of the connection. Weights are updated during [[training]] in order to minimize [[error]]s between actual [[output [[Category:Terms]] [[Category:Machine learning terms]] [[Category:not updated]]

...lgorithm]] such as [[gradient descent]] is employed; here, the weights are updated in the opposite direction to that of the loss function's gradient. This pro [[Category:Terms]] [[Category:Machine learning terms]] [[Category:not updated]]

|Updated = 2024-01-22

|Updated = 2024-01-22

|Updated = 2024-01-24

|Updated = 2024-01-24

|Updated = 2024-01-24

|Updated = 2024-01-23 ..."id":{"type":"string"},"published":{"type":"string","format":"date-time"},"updated":{"type":"string","format":"date-time"},"summary":{"type":"string"},"author

|Updated = 2024-01-24

|Updated = 2024-01-24