In transfer learning, a model trained on a large dataset is used as a starting point, and the knowledge gained is transferred to a new, _______ task.
- Completely unrelated
- Identical
- Similar
- Smaller-scale
In transfer learning, a model trained on a large dataset is used as a starting point, and the knowledge gained is transferred to a new, similar task. This leverages the pre-trained model's knowledge to improve performance on the new task, particularly when the tasks are related.
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