Transfer learning involves taking a pre-trained model, usually trained on a large dataset, and fine-tuning it on a smaller, task-specific dataset. This approach significantly reduces the amount of data and…
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#model tuning
Can you explain the concept of transfer learning in deep learning and how it can be effectively applied in practice?
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