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AI Engineering

Transfer learning

Adapt pretrained neural models to new tasks while controlling training cost and overfitting.

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Where this chapter sits in the course

Lessons

Chapter 36 of 43 · 6 short lessons · 24 min
  1. 1Pretrained checkpoint selection3 min
  2. 2Frozen backbone adaptation4 min
  3. 3Selective fine-tuning4 min
  4. 4Parameter-efficient fine-tuning4 min
  5. 5Adaptation strategy evaluation3 min
  6. 6Challenge: Transfer learning6 min

What you'll learn

  • Adapt a pretrained model with frozen or trainable parameters
  • Compare adaptation quality and resource costs

Your plan from this chapter

It follows the course from here, at your pace, with reviews before you forget.

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