Fastai’s teaching philosophy is to start at the top and delve down later. However, now that I’m on lesson 3 and I look at the later titles I’m uncertain if I should continue waiting to look into some of my questions or delve into them myself. Maybe its better explained with an example.
In Lesson 1 we cover image recognition with dogs and cats. But I would like to understand the workings of the library more. For example, how do we add a third classification of “unknown” and dump all the problem images there? I decided not to look into that expecting there would be more lectures down the road going into these details as per the top down teaching but the future lecture titles don’t hint at such a thing.
Obviously the MOOC is not meant to be a completely structured class but it seems natural to provide some guidance as to how deeply one should investigate matters before moving on.