Pre-training: A model is trained on a large dataset (e.g., millions of images). Knowledge Transfer: The trained model is used as a base for a new, related task. Fine-tuning: The model is slightly modified and trained with a smaller dataset specific ...
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Transfer Learning is an AI technique in which a trained model is utilized to address a unique however related issue. Instead of creating the AI machine from scratch the model “transfers” information from a model that has already mastered useful ...