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Convergence: Difference between revisions
Created page with "==Introduction== Machine learning aims to train a model to perform a specific task, such as recognizing images or predicting stock prices. The training process involves altering parameters in the model based on input data in order to minimize some objective function such as mean squared error between predicted and actual outputs. Convergence refers to when model parameters stop changing or do so slowly after being trained. ==Defining Convergence== Convergence is typical..."
(Created page with "==Introduction== Machine learning aims to train a model to perform a specific task, such as recognizing images or predicting stock prices. The training process involves altering parameters in the model based on input data in order to minimize some objective function such as mean squared error between predicted and actual outputs. Convergence refers to when model parameters stop changing or do so slowly after being trained. ==Defining Convergence== Convergence is typical...") |
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