Transfer Learning: Leveraging Pretrained Models for New Tasks
Transfer learning is a powerful technique used in machine learning and deep learning that enables models to leverage knowledge learned from similar tasks to address new and different problems. It involves using a pre-existing model that has been trained on a similar task as a starting point for a new task. This allows the model…
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