Deep Learning · Level 2 of 5
Transfer Learning
Reusing knowledge learned on one task or dataset for another.
Transferred features can reduce the data or computation required for a new task.
Example
A pretrained image encoder helps classify plant diseases.
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Transfer Learning. Reusing knowledge learned on one task or dataset for another. Transferred features can reduce the data or computation required for a new task. For example: A pretrained image encoder helps classify plant diseases.
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Why it matters
This helps explain why a neural model learns well, becomes unstable, or fails to generalize.
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