Introduction to machine learning · Question 33 of 60
What does the success of fine-tuning mainly depend on?
1 answer is correct. Medium
Show answer
Answer
- D The similarity between the original and the new task
Explanation
Fine-tuning works better the more similar the new task is to the old one. A model that recognizes apple varieties in photos can easily be switched to pear varieties. If, on the other hand, it is supposed to distinguish bird songs, the gap is too large and fine-tuning achieves little.