Hello fast.ai alumnis,
I am enrolled in part 1 of the course, and have been focusing on deep learning and computer vision. Eventually I would like to secure a position of a Deep Learning Engineer.
I would like to know of your experiences of attending interviews for this kind of post.
How are these kind of interviews conducted? Is it all theory and your projects? Are you given to code? What would you recommend me to have as a final checklist of items to learn/brushup? What are the musts, and what can be ignored? (This is a vast area and though I am learning a lot, I will have to narrow down to revise.)
In short, how should one approach an deep learning interview?