Question - What is fine-tuning and how is it different from transfer learning?
Answer -
In transfer learning, the feature extraction part remains untouched and only the prediction layer is retrained by changing the weights based on the application. On the contrary in fine-tuning, the prediction layer along with the feature extraction stage can be retrained making the process flexible.