Learning rate: Revision history

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17 March 2023

28 February 2023

  • curprev 12:3012:30, 28 February 2023‎ Alpha5 talk contribs‎ 3,284 bytes −1,409‎ No edit summary
  • curprev 12:1012:10, 28 February 2023‎ Alpha5 talk contribs‎ 4,693 bytes +4,693‎ 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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