Pre-trained models are machine learning models that have been previously trained on a large dataset and can be used as a starting point for various tasks without needing to train from scratch. These models leverage learned features and patterns to facilitate quicker and often more accurate predictions, especially in tasks like image classification and transfer learning.
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