Chapter 3 of the course is called “fine-tuning”. Is this use of the term “fine-tuning” consistent with this article (Transfer learning & fine-tuning 1), which differentiates between transfer learning and fine tuning?
i.e. When we fine-tune a model as in Chapter 3, are we training the whole network, or are we only training the new layer(s) attached to the body of the pre-trained network?