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Learning rate: Difference between revisions

4,693 bytes added ,  28 February 2023
Created page with "{{see also|Machine learning terms}} ==Introduction== In machine learning, learning rate is an influential hyperparameter that impacts how quickly a model learns and adapts to new data. It is used as a scalar value that adjusts model weights during training. In this article, we'll examine learning rate in detail: its definition, significance, and how it impacts performance of a machine learning model. ==Definition== Learning rate is a hyperparameter that controls the spe..."
(Created page with "{{see also|Machine learning terms}} ==Introduction== In machine learning, learning rate is an influential hyperparameter that impacts how quickly a model learns and adapts to new data. It is used as a scalar value that adjusts model weights during training. In this article, we'll examine learning rate in detail: its definition, significance, and how it impacts performance of a machine learning model. ==Definition== Learning rate is a hyperparameter that controls the spe...")
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