Fine tuning: Revision history

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20 March 2023

  • curprev 01:1701:17, 20 March 2023‎ Walle talk contribs‎ 3,523 bytes +3,523‎ Created page with "{{see also|Machine learning terms}} ==Introduction== Fine tuning, also known as transfer learning, is a technique used in machine learning to improve the performance of a pre-trained model on a specific task. This approach leverages the knowledge gained from a related task, typically one with a larger dataset, to fine-tune the model for a new task with a smaller dataset. Fine tuning has gained popularity in deep learning, especially for tasks involving Convolutional Ne..."
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