When is transfer learning most helpful?
Select an answer to reveal the explanation.
Short Explanation
Here's the deal — When a pretrained model’s features transfer to a related task with limited labeled data
Full Explanation
The correct answer is: When a pretrained model’s features transfer to a related task with limited labeled data. This matches standard ML/AI engineering practice for Domain 4: Deep Learning. Distractors confuse adjacent concepts or unsafe operational shortcuts. In production, validate with held-out data, monitoring, and governance appropriate to risk.